AI & Machine Learning News Hub 🤖 - Latest Research & Breakthroughs

Your AI & Machine Learning News Hub 🧠

Track the evolution of artificial intelligence with daily updates on breakthrough research, industry applications, and emerging technologies. From GPT and large language models to computer vision and robotics.

Source Cooperative Update: 1PB and Growing ❧ Ignition Phase : Standard Training for Fast Adversarial Robustness ☙ ❧ Learning from M-Tuple Dominant Positive and Unlabeled Data ❧ S$^2$GPT-PINNs: Sparse and Small models for PDEs ☙ ❧ Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism ❧ BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models ☙ ❧ Sampling conditioned diffusions via Pathspace Projected Monte Carlo ❧ From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems ☙ ❧ Diffusion-Based Hypothesis Testing and Change-Point Detection ❧ CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization ☙ ❧ Random feature approximation for general spectral methods ❧ Mexico’s Sheinbaum claims drop in homicides, experts dubious ☙ ❧ Self hosting a (modded) Minecraft Server on a PC ❧ Ermis: Open-source Full-feature Chat App with an emphasis on security and privacy ☙ ❧ GCP Fundamentals: Books API ❧ FHIR environment setup guide ☙ ❧ We're making our availability metrics public ❧ 🚀 Ollama Dev Stack: WebUI + Benchmark + Docker + Fallback (Open Source) ☙ ❧ Scott Vicknair Injury Lawyers launches second annual “Project Backpack” to empower Louisiana students ❧ Front-End vs. Back-End: What’s the Difference? ☙ ❧

Self-Hosted Alternatives to Popular Services
Want to self host a web chat platform
Looking for a Self-Hosted WireGuard VPN Solution - What Are My Best Options?
I built a 1.2MB internet speed test CLI in Zig using fast.com
For those of you running LLMs for your self hosted services, what hardware are you using?
Steam-Idler: open-source idling application
IAM/IdP with post-login account chooser for multiple identities
Self hosted changelog with in app widget?
Selfhosted Media Tracker BUT editable
Seeking Grafana Power-Users: Help Me Build a "Next-Level" Dashboard for an Open-Source Project (Cloudflared Metrics)
What iOS apps have the full File Provider extensions enabled? Meaning the app can be used as seamlessly as iCloud Drive from within other apps. (See Screenshot)
Digital Journal
What if we’re wrong?
I’ll quote the very wise Spider-Man (or more accurately, Uncle Ben): “With great power comes great responsibility.” 
Opening the wrong window: Too many firms are still rooted in Windows 10
Windows 11 brings several new features and improvements that are not available in Windows 10.
Bluff and last-minute orders: Trump’s path to Iran decision
When Donald Trump said on Thursday he'd give himself two weeks to decide on bombing Iran, critics wrote it off as the US president using a familiar
Trump wants quick win in Iran, but goal remains elusive
President Donald Trump vowed that his order to bomb Iran would be a one-off and not the beginning of another prolonged US war in the Middle East.But with
The key skills that matter more than university degrees in today’s job market
A deep understanding of Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP) is indispensable.
Short-changing students: Poor Internet connectivity and online universities
Geographically, students in London universities experience the most Internet speed issues, with over 5.1 million searches.
Define Solar based in NJ: Explains how to calculate a sun number
Are you thinking about switching to solar energy? Making the move to clean, renewable power is an exciting step, but before installing panels, it’s crucial to understand how well y...
The EV industry’s next influencer might be a robot built by a mechanic
Working out of a modest garage, this 30-year auto mechanic wasn’t just fixing vehicles; he was quietly plotting their obsolescence. And now, he’s ready to bring his vision to the n...
Advancing cloud services through automation and innovation
Sai Kiran Meda, an engineering manager at MetLife Legal Plans, has played a crucial role in integrating cloud computing infrastructure and automation to improve operations. He focu...
Everyone’s talking about Marble Law — here’s why
Amidst a legal industry often criticized for its opacity, outdated practices, and high costs, Marble Law is making a name for itself with its unique approach. The media has taken n...
DEV Community
Medical RAG Research with txtai
txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model... Tagged with ai, llm, rag, vectordatabase.
Quando foi que a gente parou de fazer perguntas?
Hey, Vsauce. Michael here Alguns meses, descobri um dos melhores canais de todos os tempos. Talvez...
springboot.firststeps(P1)
personaController.java no perfe + @DateTimeFormat @Controller public class PersonaController { ...
springboot.firststeps(P2)
peliculaController.java package es.taw.movies.controller; import es.taw.movies.dao.*; import...
springboot.firststeps(lib)
libroControlador.java <%@ taglib prefix="form" uri="http://www.springframework.org/tags/form"...
Declarative Programming: SQL, HTML, CSS, Prolog Guide
Welcome, fellow developers and curious minds! Have you ever wondered why some code feels like a... Tagged with programming, declarative, sql, prolog.
UI/UX - 大規模な CSS への対応
大規模なスタイルセットを記述する場合、CSS では限界があります。そこで登場するのが、CSS プリプロセッサ と呼ばれるツールです。その中でも代表的なのが SCSS (サス、Sassy CSS)... Tagged with vue, webdev, design, css.
Text Compressing Introduction - Huffman Coding in Swift
Text Compression for Beginners: Building Huffman Coding from Scratch in Swift Ever... Tagged with computerscience, algorithms, swift, beginners.
CyberGuard AI
CyberGuardian: Building Autonomous Multi-Agent Cybersecurity Defense with Google Cloud's...
Build a sanctions check in 10 minutes with SanctionSnap API
Goal: show you how to screen names against global sanctions lists with one HTTP request—no CSV... Tagged with api, fintech, compliance, python.
Artificial Intelligence (AI)
Honest Opinions On Microsoft's New Copilot?
Best local-ran ai vocal remover tool?
The Pig in Yellow VI
Is this blurry video ai?
AI voice agents are starting to sound surprisingly human. Anyone else noticing this?
You won't lose your job to AI, but to...
Mechanize is making "boring video games" where AI agents train endlessly as engineers, lawyers or accountants until they can do it in the real world. The company's goal is to replace all human jobs as fast as possible.
Yuval Noah Harari says you can think about the AI revolution as “a wave of billions of AI immigrants.” They don't arrive on boats. They come at the speed of light. They'll take jobs. They may seek power. And no one's talking about it.
Made an Open Source Firewall for ChatGPT and other LLMs
Has AI given you feedback that left you disappointed or frustrated? What changes do you guys think would improve AI the most for users?
Towards Data Science
Building A Modern Dashboard with Python and Taipy
A guide to building a front-end data application.
Building AI-Powered Low-Code Workflows with n8n
Three powerful workflows that you can apply to your personal life or business today
Why You Should Not Replace Blanks with 0 in Power BI
Did someone ask you to replace blank values with 0 in your reports? Maybe you should think twice before you do it!
Understanding Application Performance with Roofline Modeling
A common challenge with calculating an application’s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that is gr...
Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work
Transforming Independent Models into Collaborative Intelligence
Understanding Matrices | Part 2: Matrix-Matrix Multiplication
The physical meaning of multiplying two matrices and how it works on several special matrices.
LLM-as-a-Judge: A Practical Guide
How to Scale LLM Evaluations Beyond Manual Review
From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle
A step-by-step guide to leverage AWS services for efficient data pipeline automation
What PyTorch Really Means by a Leaf Tensor and Its Grad
The secret life of leaves, gradients, and the mighty requires_grad flag
Beyond Code Generation: Continuously Evolve Text with LLMs
Long-running content evolution and an introduction to result analysis
Learn Machine Learning
Don’t Just Throw AI at Problems – How to Design Great Use Cases
Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection
LAU Executive Diploma in Data Science, Deep Learning, and AI Solutions
Ai and privacy using chatbot
Any open source llms or vision models that can differentiate between printed vs handwritten pages?
Identifying frequent questions asked by clients
Hi guys, i want to start learning and don't know where to start
2nd yr PhD: How to land a job at Big Tech Research labs?
Top 5 Data Science project that will get you hired?
Rookie Question
Data Science
Does anybody remember the old Python logo? Honestly, I've only been using Python since 2018, so I didn't recall that this ever existed.
Which workflow to avoid using notebooks?
Weekly Entering & Transitioning - Thread 23 Jun, 2025 - 30 Jun, 2025
Would you do this job if you were rich enough to retire?
[Project] I just open-sourced a plugin to stop AI from hallucinating your schemas
I have run DS interviews and wow!
I talked to a DS professional who told me Gen AI is going to take up the DE job
ML case study rounds
Feature Interaction Constraints in GBMs
What is your opinion on Julius and other ai first data science tools?
Machine Learning Questions
How do I perform inference on compressed data?
Ai agent and privacy
For those who work in data science and/or AI/ML research, what is your typical routine like?
A Machine Learning-Powered Web App to Predict War Possible Outcomes Between Countries
Having a problem with a dataset
Deep learning guidance on jobs
Can I survive without dgpu?
What is the best option to make an AI player for board game?
Multimodal model to classify resumes.
Why Ethical Data is the Backbone of Responsible Machine Learning?
John D. Cook
Uniformity increases entropy
Entropy increases as system states become more uniform and decreases as they become further from uniform.
Sinc function approximation
A simple approximation to the sinc function, a function that comes up constantly in signal analysis.
Arithmetic for fun and profit
Sometimes the solution to a complicated problem is remarkably simple.
Why use hash puzzles for proof-of-work?
Why do cryptocurrencies use hash-based puzzles to demonstrate proof-of-work? Why not some more intrinsically useful problem?
Minimize squared relative error
How to choose an estimate that minimizes the squared relative errors to each of the data points. The "relative" requirement is what makes this interesting.
What is the Bitcoin proof-of-work problem?
In order to add a block to the Bitcoin blockchain, miners must solve a puzzle to demonstrate proof of work. What exactly is that puzzle?
Deleting vs Replacing Names
When deidentifying sensitive data, is it better to remove names or to replace them with randomly generated names?
Typesetting Sha and Bitcoin
In LaTeX, how to insert the Russian letter Sha (Ш, U+0248) and the currency symbol for Bitcoin (₿, U+20BF).
Golden powers revisited
Powers of the golden ratio are nearly integers. This post explains why. Also, these integers are the sum of two Fibonacci numbers.
Naively computing sine
Suppose you need to write software to compute the sine function. You were told in a calculus class that this is done using Taylor series—it's not, but that's another story—and so y...
BigDATAwire
Ocient Finds Big Data Success with Mix of New Tech, Proven Approaches
Solving big data problems often requires developing new computing approaches and new technologies. But sometimes, the newer technologies and techniques
Couchbase to Be Acquired by Haveli in $1.5 Billion Deal
Enterprise tech teams face a familiar dilemma. They need to simplify their data stacks without giving up speed, flexibility, or scalability. Many tools
Meet 2025 BigDATAwire Person to Watch Rajesh Gupta
The University of California, San Diego, has long been at the forefront of high performance computing (HPC), thanks to the San Diego Supercomputer Center.
Pure Storage Unveils Enterprise Data Cloud to Unify Storage and Data Management
At this year’s Accelerate event in Las Vegas, Pure Storage laid out an ambitious direction for enterprise infrastructure. The company is building on its
Bad Vibes: Access to AI Training Data Sparks Legal Questions
As “vibe coding” goes mainstream, AI companies are rushing to build the biggest and most authoritative tech knowledge bases to train the next generation
Diskover Targets the Blind Spot in Enterprise Data Strategies
It’s not that enterprises don’t have enough data; it’s that they don’t know what they have. Years of accumulating digital debris, such as emails, videos,
WEKA Launches NeuralMesh to Serve Needs of Emerging AI Workloads
WEKA today pulled the cover off its latest product, NeuralMesh, which is a re-imagining of its distributed file system that’s designed to handle the
Four Steps for Turning Data Clutter into Competitive Power: Your Sovereign AI and Data Blueprint
Remember the rise of the Internet of the 1990s or the mobile revolution of the 2000s? During those earlier waves of digital innovation, data was an
Zero-Click Microsoft Copilot Vuln Underscores Emerging AI Security Risks
A critical security vulnerability in Microsoft Copilot that could have allowed attackers to easily access private data serves as a potent demonstration of
Databricks Takes Top Spot in Gartner DSML Platform Report
In the market for a new data science-machine learning (DSML) platform? The folks over at Gartner have put together a document that ranks the top DSML
Machine Learning
[D] ML Noob - Reading Academic Papers vs Focus on Applications
[D] Active Learning v/s Active Data Curation
[P] AEMS – Adaptive Efficiency Monitor Simulator: EWMA-Based Timeline Forecasting for Research & Education Use
[R] Comparison with literature suggested by the reviewer
[D] Do ICCV final decisions ever come out earlier than the announced date?
[P] Implemented RLHF from scratch in notebooks with GPT-2
[D] Found an interesting approach to web agent frameworks
[D] Is it possible to convert music audio to guitar tabs or sheet music with transformers?
[R] Reinforcement Learning Teachers of Test Time Scaling
[R] Adaptive Hybrid Architectures for Multitask RL via Neurogenetic Layer Selection – My first research paper (Age 14)
Artificial Intelligence | TechRepublic
Global AI Divide: Only 32 Countries Host AI Data Centers, Leaving Many Behind
OpenAI Pulls Jony Ive Promo Video – Here’s Why
It’s Time for Enterprises to Rethink GenAI Architecture
Three Major AI Implementation Challenges, According to AI Architect at Pure Storage
AI Now Creates 51% of Spam: Two Key Reasons Attackers Use This Approach
Gartner: Businesses With AI-Literate Execs Will Perform 20% Better Financially
Polish MSP Seeks AI Data Center Services Domination in Central and Eastern Europe
Adobe’s LLM Optimizer Helps Brands ‘Stand Out and Win’ In New AI Frontier
Top AI Advances for Enterprise and Deployment Challenges, According to Storage Exec
OpenAI Begins ‘Phasing Out’ Scale AI, but It’s Not Because of Meta
Artificial Intelligence
No-code data preparation for time series forecasting using Amazon SageMaker Canvas
Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting accessible to all users regardless of their technical background. In t...
Build an agentic multimodal AI assistant with Amazon Nova and Amazon Bedrock Data Automation
In this post, we demonstrate how agentic workflow patterns such as Retrieval Augmented Generation (RAG), multi-tool orchestration, and conditional routing with LangGraph enable end...
Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX
In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One part...
Building trust in AI: The AWS approach to the EU AI Act
The EU AI Act establishes comprehensive regulations for AI development and deployment within the EU. AWS is committed to building trust in AI through various initiatives including ...
Update on the AWS DeepRacer Student Portal
Starting July 14, 2025, the AWS DeepRacer Student Portal will enter a maintenance phase where new registrations will be disabled. Until September 15, 2025, existing users will reta...
Accelerate foundation model training and inference with Amazon SageMaker HyperPod and Amazon SageMaker Studio
In this post, we discuss how SageMaker HyperPod and SageMaker Studio can improve and speed up the development experience of data scientists by using IDEs and tooling of SageMaker S...
Meeting summarization and action item extraction with Amazon Nova
In this post, we present a benchmark of different understanding models from the Amazon Nova family available on Amazon Bedrock, to provide insights on how you can choose the best m...
Building a custom text-to-SQL agent using Amazon Bedrock and Converse API
Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The complexity of NLP and database man...
Accelerate threat modeling with generative AI
In this post, we explore how generative AI can revolutionize threat modeling practices by automating vulnerability identification, generating comprehensive attack scenarios, and pr...
How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS
In this post, we explore how you can use Anomalo with Amazon Web Services (AWS) AI and machine learning (AI/ML) to profile, validate, and cleanse unstructured data collections to t...
AI-Tech Park
Atlas Technologies Welcomes Kyle Dillon as Director of Innovation
Atlas Technologies, a premier provider of defense IT solutions, is proud to announce the appointment of Kyle Dillon as its Director of Innovation. This newly created role reinforce...
ThreatHunter.ai Eliminates MFA Attacks with MILBERT
ThreatHunter.ai is calling time on the illusion of safety. For two years, the cybersecurity industry has watched adversary-in-the-middle attacks bypass MFA, hijack sessions, and wa...
BforeAI Named 2025 Technology Pioneer by the World Economic Forum
Cybersecurity leader selected for its cutting-edge AI technology to drive innovations for positive change BforeAI, the world's fastest and most accurate predictive attack intellige...
Xsolis Launches Gen AI That Speeds Up Medical Review Process
Beacon Health System pilots new Xsolis solution and reveals 68% time savings, more comprehensive reviews, and quicker payer approvals Xsolis, an AI-driven technology company that r...
Schneider Electric Launches New Data Centre Solutions
Innovative prefabricated data centre architecture provides critical IT infrastructure for high-density computing clusters. New rack PDUs and rack systems are built for increased si...
Managed IT Services Leader NexusTek Wins Top Honors at Pax8 Beyond 2025
Awarded for Peak Performance in the USA and Innovation with Microsoft Copilot NexusTek, a leading provider of managed IT services, today announced it has earned two top honors at t...
Kioxia Expands BiCS FLASH SSDs for AI, HPC Data Centers
KIOXIA CD9P Series PCIe® 5.0 SSDs Feature Advanced CBA Architecture and TLC Flash, Delivering Breakthrough Performance, Efficiency and Capacity Kioxia Corporation, a world leader i...
Unframe Launches Synergy
Now generally available, Synergy correlates and explains data across IT Ops systems for real-time clarity, faster resolution, and measurable efficiency without rip-and-replace Unfr...
Broadcom Delivers the Modern Private Cloud with VCF 9.0
Next Generation of Broadcom’s Private Cloud Platform and Advanced Services Help Customers Accelerate Innovation, Control Cloud Costs, and Enable Sovereignty and Security Broadcom I...
DataStrike Grows 600% Amid Soaring PostgreSQL Demand
DataStrike Doubles Database Management Personnel to Accommodate Growing Database Management Business DataStrike, a leader in data infrastructure managed services, announced a 600%,...
AI
Ask a techspert: What is inference?
Learn more about AI and inference from Google experts.
Search Live: Talk, listen and explore in real time with AI Mode
Search Live with voice facilitates back-and-forth conversations in AI Mode.
Hear a podcast discussion about Gemini’s coding capabilities.
The latest episode of the Google AI: Release Notes podcast focuses on how the Gemini team built one of the world’s leading AI coding models.Host Logan Kilpatrick chats w…
We’re expanding our Gemini 2.5 family of models
Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet.
Get an audio overview of Search results in Labs, then click through to learn more.
Today, we’re launching a new Search experiment in Labs – Audio Overviews, which uses our latest Gemini models to generate quick, conversational audio overviews for certa…
Behind “ANCESTRA:” combining Veo with live-action filmmaking
We partnered with Darren Aronofsky, Eliza McNitt and a team of more than 200 to make ANCESTRA.
5 things from I/O to try right now
These AI tools from Google I/O 2025 are available globally for your experimentation.
Google for Nonprofits will expand to 100+ new countries and launch 10+ new no-cost AI features
Google for Nonprofits is expanding to 100 more countries, and introducing new Workspace for Nonprofits and Ad Grants AI features.
How we used generative media at I/O 2025
From the keynote countdown to speaker title cards and beyond, generative AI took the stage at I/O 2025.
How we built one of the most ambitious datasets in brain activity research
Learn how Google Research’s team worked with collaborators at HHMI Janelia and Harvard University to build a dataset that tracks both the neural activity and nanoscale structure of...
AI News - Artificial Intelligence - Machine Learning News | Futurism
ChatGPT Encouraged Man as He Swore to Kill Sam Altman
In its quest to keep users engaged, ChatGPT is encouraging delusions — and that dangerous incentivization has a growing body count. 
People Being Replaced by AI Are Suffering a Deep Sense of Worthlessness
A psychologist has noticed that people are anxious about AI and have existential questions about their purpose now.
Police Shut Down AI Startup's Party as CEO Screams That "Aura Is Just Too Strong!"
A buzzy AI "cheating" app tried to host an illegal party outside the offices of Y Combinator — and the stunt got the attention of the fuzz.
OpenAI Concerned That Its AI Is About to Start Spitting Out Novel Bioweapons
OpenAI is now bragging that its forthcoming models are so advanced, they may be capable of building brand-new bioweapons.
Scientists Just Found Something Unbelievably Grim About Pollution Generated by AI
AI models that are bigger in size compared to smaller models are estimated to use more energy, emit more carbon, and are more accurate.
OpenAI May Have Screwed Up So Badly That Its Entire Future Is Under Threat
In its quest to become a for-profit entity, OpenAI may have catastrophically fumbled the bag with Microsoft.
AI Startup That Raised $81 Million to Detect Wildfires Bamboozled by Clouds, Still Relies on Humans
A new "AI" company meant to detect wildfires is easily duped by clouds and dust, ultimately requiring humans to remain in the loop.
Child Welfare Experts Horrified by Mattel's Plans to Add ChatGPT to Toys After Mental Health Concerns for Adult Users
After Mattel announced a collaboration with OpenAI, some experts are sounding the alarm on the dangers that interactive AI poses to children.
CEOs Using AI to Terrorize Their Employees
As AI adoption spreads, CEOs are increasingly using the tech to justify layoffs, or to anticipate layoffs coming in the future.
Elon Musk Concerned That Reality Has Infiltrated His "Grok" AI
Elon Musk continues to express anger at his chatbot Grok for citing news reports and other sources that don't align with his extremist views.
Crunchbase News
Thinking Machines Lab’s $2B Seed Round Is Biggest By A Long Shot
The $2 billion Andreessen Horowitz-led financing that Thinking Machines reportedly just closed at a $10 billion valuation is by far the largest seed round in the Crunchbase dataset...
Active Capital Defies Pre-Seed Slowdown With Fresh $28M Fund Focused On AI
Active Capital, a San Antonio-based solo GP venture firm, has closed on its third fund — a $28 million vehicle aimed at investing in enterprise AI and cloud infrastructure startups...
AI Isn’t Just Delivering The News — It’s About To Deliver Your Lawyer, Too
The popularity of AI chatbots has shifted the idea of a “search engine” to an “answer engine” — and professional services aren’t ready, argues guest author Aron Solomon, who sugges...
The Week’s 10 Biggest Funding Rounds: Energy, Defense Tech Led
Energy for AI and automated defense tech led this week’s largest U.S. venture funding deals. Vertical software solutions driven by AI in sports, healthcare and financial services w...
Data: Tech Layoffs Remain Stubbornly High, With Big Tech Leading The Way
After dropping substantially last December, job cuts spiked again in February and April this year, with at least 923 U.S. tech workers being laid off so far in June, per Crunchbase...
The Crunchbase Tech Layoffs Tracker
Tech layoffs: At least 95,000 workers at U.S.-based tech companies were laid off in mass job cuts in 2024 and the cuts have continued into 2025.
When Strategic Warrants Become Strategic Roadblocks
Startup adviser Itay Sagie offers three key lessons for founders on how to structure fair yet founder-friendly strategic partnership agreements that preserve long-term optionality.
The Great Unicorn Backlog: Visualizing A Decade Of Private-Market Buildup
As a part of our series looking at how the venture and startup landscape has evolved over the past 10 years, we look at the vast backlog of still-private unicorn startups, highligh...
Bill Gates-Founded Nuclear Energy Startup Raises $650M From Nvidia’s VC Arm, Others
Nuclear startup TerraPower raised $650 million from its founder Bill Gates, HD Hyundai, NVentures and existing investors as the tech industry continues to seek new sources of energ...
Nabla Lands $70M To Build AI Agents In Healthcare Settings
Paris-based Nabla, which has developed an AI copilot for doctors and other medical staff, announced Tuesday that it has raised $70 million in a Series C funding led by Germany’s HV...
Microsoft Research
AI Testing and Evaluation: Learnings from Science and Industry
In the intro episode of “AI Testing and Evaluation: Learnings from Science and Industry,” host Kathleen Sullivan and Amanda Craig Deckard discuss Microsoft’s efforts to draw on oth...
Learning from other domains to advance AI evaluation and testing
As generative AI becomes more capable and widely deployed, familiar questions from the governance of other transformative technologies have resurfaced. Which opportunities, capabil...
Breaking bonds, breaking ground: Advancing the accuracy of computational chemistry with deep learning
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead ...
New methods boost reasoning in small and large language models
New techniques are reimagining how LLMs reason. By combining symbolic logic, mathematical rigor, and adaptive planning, these methods enable models to tackle complex, real-world pr...
How AI is reshaping the future of healthcare and medical research
Technologists Bill Gates and Sébastien Bubeck join Peter Lee for Ep. 7 of “The AI Revolution in Medicine, Revisited” and explore how they’re seeing AI in healthcare unfolding and t...
Rewriting SymCrypt in Rust to modernize Microsoft’s cryptographic library
We're rewriting parts of Microsoft's SymCrypt cryptographic library in Rust to improve memory safety and defend against side-channel attacks, enabling formal verification while mai...
BenchmarkQED: Automated benchmarking of RAG systems
BenchmarkQED is an open-source toolkit for benchmarking RAG systems using automated query generation, evaluation, and dataset prep. It shows that LazyGraphRAG outperforms standard ...
What AI’s impact on individuals means for the health workforce and industry
In Episode 6 of “The AI Revolution in Medicine, Revisited,” guests Ethan Mollick and Azeem Azhar explore the impact and potential of AI in health through an economics lens—from ind...
FrodoKEM: A conservative quantum-safe cryptographic algorithm
The recent advances in quantum computing offer many advantages—but also challenge current cryptographic strategies. Learn how FrodoKEM could help strengthen security, even in a fut...
Abstracts: Zero-shot models in single-cell biology with Alex Lu
The emergence of foundation models has sparked interest in applications to single-cell biology, but when tested in zero-shot settings, they underperform compared to simpler methods...
Deep Learning
M.S Thesis(Math) ideas on Deep Learning
Unlock Perplexity AI PRO – Full Year Access – 90% OFF! [LIMITED OFFER]
Give me some major project ideas for my final year project!
Seeking Deep Learning Expert: Transform My OpenUTAU Voicebank into a Professional-Grade DiffSinger Model!
AI assistant shown debugging from a live screen share, can this actually match a human?
Can somebody suggest me a good use case for LVLMs?
What would you want from an AI assistant for finance?
Struggling with Traffic Violation Detection ML Project — Need Help with Types, Inputs, GPU & Web Integration
Can AI Replace a Failed United Nations with a More Powerful Agent for World Peace?
Free Course Hero Unlocker 2025: What’s Actually Working Right Now?
Neural Networks, Deep Learning and Machine Learning
Hauntingly beautiful response from Elon Musks neural network prompt
Help please
Where can I find people to help me with an NN/ML project?
Writing a CNN from scratch in C++/Vulkan (no ML/math libs) - a detailed guide
t-SNE Explained
How To Actually Fine-Tune MobileNetV2 | Classify 9 Fish Species
The Hidden Inductive Bias at the Heart of Deep Learning - Blog!
Using Conv1D to analyze Time Series Data
Growing Neural Cellular Automata (A Tutorial)
Thinking LLMs - the Iterative Transparent Reasoning System (ITRS)
Quanta Magazine
Matter vs. Force: Why There Are Exactly Two Types of Particles
Every elementary particle falls into one of two categories. Collectivist bosons account for the forces that move us while individualist fermions keep our atoms from collapsing.
Is Mathematics Mostly Chaos or Mostly Order?
Two new notions of infinity challenge a long-standing plan to define the mathematical universe.
How AI Models Are Helping to Understand — and Control — the Brain
Martin Schrimpf is crafting bespoke AI models that can induce control over high-level brain activity.
The Ecosystem Dynamics That Can Make or Break an Invasion
By speedrunning ecosystems with microbes, researchers revealed intrinsic properties that may make a community susceptible to invasion.
Is Gravity Just Entropy Rising? Long-Shot Idea Gets Another Look.
A new argument explores how the growth of disorder could cause massive objects to move toward one another. Physicists are both interested and skeptical.
Blog - Singularity Weblog
Above the Law: Big Tech’s Bid to Block AI Oversight
Big Tech is lobbying to block AI regulation for 10 years. Here’s why their power grab threatens our freedom, safety and democracy.
Charles Babbage: The Forgotten Father of Computing and His Relevance to AI
How Charles Babbage built the first computer—laying the foundation for modern computing, automation, and AI that still shape our world today.
Edsger Dijkstra and the Paradox of Complexity
Who was Edsger Dijkstra? Discover how his warnings on complexity, algorithms & control connect directly to today's debates on AI and the Singularity.
Did the Unabomber See the Singularity Coming? Ted Kaczynski and the Dark Side of Progress
Was Ted Kaczynski only a terrorist, or did the Unabomber foresee AI, the Singularity, and the dark side of progress? Explore his disturbing warning.
Arthur C. Clarke’s 3 Laws: When the Future Looks Like Magic
Discover Arthur C. Clarke’s 3 Laws of prediction and see why this legendary futurist and author—Arthur Clarke—was decades ahead of his time.
Samuel Butler and the Technological Singularity
Discover how Samuel Butler foresaw the rise of intelligent machines and AI evolution over a century ago — an early warning about the future we now face.
Angus Fletcher: Why AI Will Never Replace Human Storythinking or Primal Intelligence
Angus Fletcher: AI can’t match our storythinking or primal intelligence—and that’s what gives the human mind its enduring power.
A Kernel of Truth
A haunting modern parable about truth, distortion, and destruction—how one kernel of truth can grow into a fire that burns the world.
Staying Sane in an Insane World
Staying sane is a daily practice. Discover seven practical strategies to stay sane, reclaim your clarity, and strengthen your resilience amid uncertainty.
IASEAI’25 vs. The AI Action Summit: Will AI Be Driven by Cooperation or Competition?
At IASEAI’25, experts called for AI safety and regulation, while the Paris Summit pushed for acceleration. Which path will shape the future?
New Scientist - Technology
Why is it seemingly impossible to stop phone thieves?
The huge market for stolen smartphones means that thieves will continue to snatch them, but is there anything we can do to put a stop to this crime wave?
Your passwords have probably been stolen and sold on the dark web
Technology reporter Matthew Sparkes thought his passwords and personal data were safe, but a tour of the murkier sides of the internet revealed otherwise
What are we losing by burying ourselves in immersive experiences?
The "immersive entertainment" boom takes user-centred experiences to new heights, but isn't it making culture a little insular, asks Arwa Haider
Forget superintelligence – we need to tackle 'stupid' AI first
Tech CEOs and politicians alike are preparing for the day that superintelligent AI takes over, whilst failing to deal with the issues in front of them – from copyright to autonomou...
Is superintelligent AI just around the corner, or just a sci-fi dream?
Tech CEOs are promising increasingly outlandish visions of the 2030s, powered by "superintelligence", but the reality is that even the most advanced AI models can still struggle wi...
Can any nation protect against a Ukraine-style drone smuggling attack?
Ukraine's Operation Spiderweb showed how small, cheap drones can be smuggled into a country and used against expensive military hardware. Now, there are concerns that nations like ...
Disney and Universal lawsuit may be killing blow in AI copyright wars
Two huge movie studios are suing Midjourney, claiming the firm’s AI has been trained on their copyrighted material – the entrance of the Hollywood giants into this legal fight coul...
Can we stop big tech from controlling the internet with AI agents?
With tech giants like Google developing ways for AI models to communicate and work together, there are fears that smaller players could get left behind in the rush to unleash AI ag...
The arid air of Death Valley may actually be a valuable water source
An innovative device extracted a small glassful of water from the air of Death Valley desert over one day
Police forensic scientist reviews the best (and worst) cop dramas
Police crime procedurals are among the most popular genres on TV. Audiences around the world love a good whodunnit for a touch of gritty drama, good-vs-bad adventure and guess-alon...
SAS Blogs
Synthetic data for next-generation fraud detection in banking
Discover how synthetic data helps banks detect fraud faster, stay compliant and accelerate AI innovation without privacy risk.
How to add a curve to a moment-ratio diagram
I have previously written about the moment-ratio diagram as a graphical tool for modeling univariate distributions and also as a tool for examining the distribution of the skewness...
How I use BirdNET-PI and SAS to track my feathered neighbors
How I collected birdsong detection data from BirdNET-PI and used SAS to visualize the bird visits across the seasons.
自由と統制：変化しながらもガバナンスを担保するための唯一無二のデータ分析プラットフォームとは
競争に勝つためのData & AI プラットフォームに完成はない 「ガウディとサグラダ・ファミリアに学ぶデータ分析基盤アーキテクチャのための原則」で考察したように、変化し続ける市場や消費者、経済環境において、企業・組織が意志決定する対象やその内容は刻々と変化していきます。また、よりよい意志決定のためのData & AI活用のためのテクノロジーも日々変化してい...
From fragmented to connected: Why modernization matters
Explore how unified marketing platforms like SAS CI 360 help solve fragmentation, accelerate personalization, and boost agility.
SAS: The workhorse of the AI era
SAS is the AI era’s quiet workhorse – powering trusted, scalable systems where reliability, compliance and results matter most.
2025 SAS 해커톤 참가 등록 시작! 여러분의 참여를 기다립니다.
AI는 비즈니스와 기술 분야에서 여전히 가장 뜨거운 주제이지만, 아직 AI를 효과적으로 활용하여 가치를 창출하는 데에는 어려움이 많습니다.
Más allá de la protección: cómo la gestión de riesgos estratégica impulsa el crecimiento sostenible
La gestión de riesgos ha evolucionado de ser una función meramente defensiva a convertirse en un motor estratégico clave para el crecimiento.
The hard part of agentic AI: Designing for trust
Agentic AI demands trust. Learn how accountability, robustness, and privacy shape responsible, autonomous systems built for impact.
은행의 미래 혁신을 위한 5가지 필수 요소
은행업계의 미래는 지금보다 지능화되겠지만 위험도는 더 높아질 것이라는 연구결과가 발표되어 업계의 이목을 끌고 있습니다.
R-bloggers
Understanding the Link Between Uncertainty and Imports by glmnet
According to the graph below, suggested by Fernando Leibovici, the increase in uncertainty that began in late 2024 aligns with a rise in imports, indicating that US importers accel...
THAMES for mixtures, a reply from the authors
[Here is a reply to my comments on THAMES sent by the first author of the paper, Martin Metodiev. The above replica of the cover of Rivers of London is obviously unrelated with the...
It’s a linear world – approximately; and the "Rule of 72"
You are probably familiar with the "Rule of 72" in investing: if an investment compounds at annual interest rate i, then the number of years for money to double is approximately 72...
Beyond ARMA-GARCH: leveraging any statistical model for volatility forecasting
A flexible hybrid approach to probabilistic stock forecasting that combines statistical model with ARCH effects, offering an alternative to traditional ARMA-GARCH models
ggplot2 4.0.0 is coming and why ultimately it’s on YOU to ensure your environments are reproducible
It looks like a major update to {ggplot2} is coming (version 4.0.0), where Posit is switching the internals from S3 to S7. This will break many reverse dependencies of {ggplot2} (a...
Season 48 is now in 📦{survivoR} + new datasets and data updates
Survivor 48 has wrapped up, and the data has been added to the package and is now available on CRAN. […] The post Season 48 is now in 📦{survivoR} + new datasets and data updates ap...
R Package Quality: Validation and beyond!
As is often the case, it’s pretty easy to talk about “good” R packages. We can even wave our hands and talk about packages following “software standards” or “best practices”. But w...
Kendallknight: An R package for efficient implementation of Kendall’s correlation coefficient computation
The kendallknight package introduces an efficient implementation of Kendall’s correlation coefficient computation, significantly improving the processing time for large datasets wi...
Futureverse – Ten-Year Anniversary
The future package turns ten years old today. I released version 0.6.0 to CRAN on June 19, 2015, just days before I presented the package and sharing my visions at useR! 2016. I ha...
Oh Leave it Out
Sometimes we want to repeatedly do things with all but one row of a data frame, where we systematically drop each row in turn and do the thing. For example, jacknife cross-validati...
Feed: Artificial Intelligence Latest
Taiwan Is Rushing to Make Its Own Drones Before It's Too Late
Unmanned vehicles are increasingly becoming essential weapons of war. But with a potential conflict with China looming large, Taiwan is scrambling to build a domestic drone industr...
‘Wall-E With a Gun’: Midjourney Generates Videos of Disney Characters Amid Massive Copyright Lawsuit
A week after Disney and Universal filed a landmark lawsuit against Midjourney, the generative AI startup’s new V1 video tool will make clips of Shrek, Deadpool, and other famous cr...
Seriously, What Is ‘Superintelligence’?
In this episode of “Uncanny Valley,” we talk about Meta’s recent investment in Scale AI and its move to build a superintelligence AI research lab. So we ask: What is superintellige...
What Big Tech's Band of Execs Will Do in the Army
Meta CTO Andrew "Boz" Bosworth and leaders from OpenAI and Palantir have joined a detachment intended to make the US Armed Forces "force leaner, smarter, and more lethal."
How AI Is Helping Students Find the Right College
College counselors in the US are too overworked to meet with every student. A new wave of specialized AI tools can learn students’ interests, then recommend schools, areas of study...
How Much Energy Does AI Use? The People Who Know Aren’t Saying
A growing body of research attempts to put a number on energy use and AI—even as the companies behind the most popular models keep their carbon emissions a secret.
Amazon Rebuilt Alexa Using a ‘Staggering’ Amount of AI Tools
From writing code to testing the new Alexa+, Amazon engineers used generative AI throughout the build process. We talk to Amazon's Daniel Rausch about the next version of the voice...
This AI Model Never Stops Learning
Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves its...
Authors Are Posting TikToks to Protest AI Use in Writing—and to Prove They Aren’t Doing It
Traditional and indie authors are flooding #WritersTok with videos of them editing their manuscripts to refute accusations of generative AI use—and bring readers into their very hu...
This Chatbot Tool Pays Users $50 a Month for Their Feedback on AI Models
On Yupp, chatbot users earn cash by saying which of two prompts they prefer—info that has great value to the AI companies running the models.
Reinforcement Learning
Benchmarks fooling reconstruction based world models
How to use offline SAC (Stable-Baselines3) to control water pressure with a learned simulator?
Help Needed - TurtleBot3 Navigation RL Model Not Training Properly
Phd in RL for industrial control systems.
Has anyone implement back propagation from scratch using ANN ?
"Reinforcement learning and general intelligence: Epsilon random is not enough", Finbarr Timbers 2025
Any Robotics labs looking for PhD students interested in RL?
Looking for resources on using reinforcement learning + data analytics to optimize digital marketing strategies
"Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay", Sun et al. 2025
[Project] Pure Keras DQN agent reaches avg 800+ on Gymnasium CarRacing-v3 (domain_randomize=True)
Radiant Earth
Source Cooperative Update: 1PB and Growing
Updates on Source Cooperative, our immediate roadmap, and introducing the Source Cooperative Advisory Board.
Internet Power
A talk given at the Yale Jackson School of Global Affairs arguing that 21st century institutions need to understand how to accrue and wield their own power on the Internet.
Building Resilient Data Infrastructure
We know it's possible to build new data infrastructure, but we urgently need to figure out how to do so sustainably and ethically. Join us at CNG Conference and at Fed Geo Day as w...
Grant from Navigation Fund to Support Source Cooperative
We are happy to announce that Radiant Earth has received funding from The Navigation Fund to support development of Source Cooperative.
Grant from Splunk Social Impact
We are happy to announce that Radiant Earth has received funding from Splunk Social Impact.
The Importance of Farm Field Boundaries
An overview of our work with the Taylor Geospatial Engine to create a common way to share field boundary data at scale.
The State of Data at SatSummit 2024
Slides and speech given at the opening plenary of SatSummit 2024.
Cloud-Native Geo Pioneers in Earth Science: Honoring the 2024 Leading Women
In honor of International Women’s Day, we are pleased to announce the 2024 Leading Women in Earth Science - 10 women transforming how we access and work with vast geospatial datase...
Q&A with Mala Kumar, Our Newest Board Member
We are pleased to welcome Mala Kumar to our Board of Directors. In this Q&A profile, we talk with Mala about her career journey, joining our Board, and the intersections between te...
Unicorns, Show Ponies, and Gazelles
A few four-legged animal metaphors that explain how we’ve been building global data infrastructure to date and how we might do better in the future.
Robot Writers AI
Gallup: Only 8% of U.S Workers Use AI Daily
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
Key Rival Lends ChatGPT a Hand
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
ChatGPT: The Number One Choice in U.S.
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
At Your Service
Aprimo has rolled-out an army of new AI agents specially designed to aid in every step of the content creation process.
ChatGPT Rival Abandons Chatbot Updates
ChatGPT competitor Claude is no longer focused on improving the AI writing features if offers.
Hey There, Good Lookin’
ChatGPT is now able to auto-format the research it does for you into beautifully presentable, downloadable, .PDFs.
ChatGPT’s Workhorse AI Engine Still Solid Choice
While ChatGPT-4o remains formidable, some problems are cropping up with experimental models.
Gone Fishin’
RobotWritersAI.com is playing hooky. We'll be back May 5, 2025 with fresh news and analysis on the latest in AI-generated writing.
Google AI Offers Free Ride for College Students
Google is offering U.S. college students a one-year free ride on Google One AI Premium.
For Writers, ChatGPT-4o Still the Best AI Engine
Despite a flurry of new AI engines just released by OpenAI, the current default --ChatGPT-4o – is still best for writers.
MIT News - Artificial intelligence
LLMs factor in unrelated information when recommending medical treatments
An MIT study finds non-clinical information in patient messages, like typos, extra whitespace, or colorful language, can reduce the accuracy of a large language model deployed to m...
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event
The MIT Generative AI Impact Consortium presents cross-Institute proposals targeted at high-impact intersections of AI and other disciplines to meaningfully benefit society.
Combining technology, education, and human connection to improve online learning
MIT MAD Fellow Caitlin Morris draws on her background in design, psychology, and community learning to study how social dynamics shape curiosity and motivation in digital and AI-as...
Unpacking the bias of large language models
MIT researchers discovered the underlying cause of position bias, a phenomenon that causes large language models to overemphasize the beginning or end of a document or conversation...
A sounding board for strengthening the student experience
Representing a broad swath of both traditional and blended majors in electrical engineering and computer science and other computing-related programs at MIT, the Undergraduate Advi...
Celebrating an academic-industry collaboration to advance vehicle technology
MIT AgeLab’s Advanced Vehicle Technology Consortium, part of the MIT Center for Transportation and Logistics, celebrated 10 years of academic-industry collaboration with discussion...
Bringing meaning into technology deployment
The MIT Ethics of Computing Research Symposium showcased projects at the intersection of technology, ethics, and social responsibility.
Photonic processor could streamline 6G wireless signal processing
MIT researchers developed a photonic AI hardware accelerator designed specifically to handle wireless signal processing, reducing latency. Their architecture encodes and processes ...
Have a damaged painting? Restore it in just hours with an AI-generated “mask”
A new method uses AI to physically restore a damaged painting much more quickly than what’s possible using manual techniques. A digitally generated “mask” in the form of thin film ...
Inroads to personalized AI trip planning
Researchers from MIT and the MIT-IBM Watson AI Lab developed a framework that combines a large language model and a satisfiability modulo theories (SMT) solver to create complete a...
MIT News - Machine learning
LLMs factor in unrelated information when recommending medical treatments
An MIT study finds non-clinical information in patient messages, like typos, extra whitespace, or colorful language, can reduce the accuracy of a large language model deployed to m...
Unpacking the bias of large language models
MIT researchers discovered the underlying cause of position bias, a phenomenon that causes large language models to overemphasize the beginning or end of a document or conversation...
A sounding board for strengthening the student experience
Representing a broad swath of both traditional and blended majors in electrical engineering and computer science and other computing-related programs at MIT, the Undergraduate Advi...
Bringing meaning into technology deployment
The MIT Ethics of Computing Research Symposium showcased projects at the intersection of technology, ethics, and social responsibility.
Photonic processor could streamline 6G wireless signal processing
MIT researchers developed a photonic AI hardware accelerator designed specifically to handle wireless signal processing, reducing latency. Their architecture encodes and processes ...
Have a damaged painting? Restore it in just hours with an AI-generated “mask”
A new method uses AI to physically restore a damaged painting much more quickly than what’s possible using manual techniques. A digitally generated “mask” in the form of thin film ...
Inroads to personalized AI trip planning
Researchers from MIT and the MIT-IBM Watson AI Lab developed a framework that combines a large language model and a satisfiability modulo theories (SMT) solver to create complete a...
Melding data, systems, and society
“Data, Systems, and Society: Harnessing AI for Societal Good,” a book by MIT Professor Munther Dahleh, details the creation of the MIT Institute for Data, Systems and Society, a un...
AI-enabled control system helps autonomous drones stay on target in uncertain environments
A new adaptive control system for autonomous drones minimizes trajectory tracking error. It uses AI to approximate the unknown forces that could affect the drone’s flight path and ...
Helping machines understand visual content with AI
Coactive, founded by MIT alumni Cody Coleman and William Gaviria Rojas, has built an AI-powered platform to help companies understand their visual content without relying on manual...
cs.LG updates on arXiv.org
Ignition Phase : Standard Training for Fast Adversarial Robustness
Abstract page for arXiv paper 2506.15685: Ignition Phase : Standard Training for Fast Adversarial Robustness
Learning from M-Tuple Dominant Positive and Unlabeled Data
Abstract page for arXiv paper 2506.15686: Learning from M-Tuple Dominant Positive and Unlabeled Data
S$^2$GPT-PINNs: Sparse and Small models for PDEs
Abstract page for arXiv paper 2506.15687: S$^2$GPT-PINNs: Sparse and Small models for PDEs
Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
Abstract page for arXiv paper 2506.15688: Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models
Abstract page for arXiv paper 2506.15689: BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models
LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs
Abstract page for arXiv paper 2506.15690: LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs
What Do Latent Action Models Actually Learn?
Abstract page for arXiv paper 2506.15691: What Do Latent Action Models Actually Learn?
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Abstract page for arXiv paper 2506.15692: MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks
Abstract page for arXiv paper 2506.15693: Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks
Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction
Abstract page for arXiv paper 2506.15694: Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction
stat.ML updates on arXiv.org
Sampling conditioned diffusions via Pathspace Projected Monte Carlo
Abstract page for arXiv paper 2506.15743: Sampling conditioned diffusions via Pathspace Projected Monte Carlo
From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems
Abstract page for arXiv paper 2506.15906: From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems
Diffusion-Based Hypothesis Testing and Change-Point Detection
Abstract page for arXiv paper 2506.16089: Diffusion-Based Hypothesis Testing and Change-Point Detection
CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
Abstract page for arXiv paper 2506.16189: CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
Random feature approximation for general spectral methods
Abstract page for arXiv paper 2506.16283: Random feature approximation for general spectral methods
The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
Abstract page for arXiv paper 2506.16289: The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
Identifying Heterogeneity in Distributed Learning
Abstract page for arXiv paper 2506.16394: Identifying Heterogeneity in Distributed Learning
On Continuous Monitoring of Risk Violations under Unknown Shift
Abstract page for arXiv paper 2506.16416: On Continuous Monitoring of Risk Violations under Unknown Shift
Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation
Abstract page for arXiv paper 2506.16636: Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation
Schr\"odinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Abstract page for arXiv paper 2506.17197: Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Artificial Intelligence News -- ScienceDaily
Affordances in the brain: The human superpower AI hasn’t mastered
Scientists at the University of Amsterdam discovered that our brains automatically understand how we can move through different environments—whether it's swimming in a lake or walk...
Half of today’s jobs could vanish—Here’s how smart countries are future-proofing workers
AI is revolutionizing the job landscape, prompting nations worldwide to prepare their workforces for dramatic changes. A University of Georgia study evaluated 50 countries’ nationa...
Quantum breakthrough: ‘Magic states’ now easier, faster, and way less noisy
Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create "magic states"—a key component fo...
AI at light speed: How glass fibers could replace silicon brains
Imagine supercomputers that think with light instead of electricity. That s the breakthrough two European research teams have made, demonstrating how intense laser pulses through u...
The AI that writes climate-friendly cement recipes in seconds
AI researchers in Switzerland have found a way to dramatically cut cement s carbon footprint by redesigning its recipe. Their system simulates thousands of ingredient combinations,...
Robots that feel heat, pain, and pressure? This new “skin” makes it possible
Researchers have created a revolutionary robotic skin that brings machines closer to human-like touch. Made from a flexible, low-cost gel material, this skin transforms the entire ...
This quantum sensor tracks 3D movement without GPS
Physicists at the University of Colorado Boulder have created a groundbreaking quantum device that can measure 3D acceleration using ultracold atoms, something once thought nearly ...
Photonic quantum chips are making AI smarter and greener
A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest tha...
This “robot bird” flies at 45 mph through forests—With no GPS or light
Unlike birds, which navigate unknown environments with remarkable speed and agility, drones typically rely on external guidance or pre-mapped routes. However, a groundbreaking deve...
Guardrails, education urged to protect adolescent AI users
The effects of artificial intelligence on adolescents are nuanced and complex, according to a new report that calls on developers to prioritize features that protect young people f...
Machine learning : nature.com subject feeds
Medical AI can transform medicine — but only if we carefully track the data it touches
The uncontrolled deployment of machine learning in medicine can distort patient information and sacrifice long-term data reliability for short-term benefits.
Deep learning-designed dynamics
Nature Chemical Biology - Deep learning-designed dynamics
A mobile robot bridging manual and automated bioscientific workflows by applying the Swiss army knife principle
The complexity and diversity of bioscientific research laboratories, creates significant challenges for automation. Their varying workflows, personnel, and instruments, often hinde...
Accurate de novo design of high-affinity protein-binding macrocycles using deep learning
Developing macrocyclic binders to therapeutic proteins typically relies on large-scale screening methods that are resource intensive and provide little control over binding mode. D...
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases
There are over 7000 rare diseases, some affecting 3500 or fewer patients in the United States. Due to clinicians’ limited experience with such diseases and the heterogeneity of cli...
Evaluating language model embeddings for Parkinson’s disease cohort harmonization using a novel manually curated variable mapping schema
Data Harmonization is an important yet time-consuming process. With the recent popularity of applications using Language Models (LMs) due to their high capabilities in text underst...
A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases
Human diseases are characterized by intricate cellular dynamics. Single-cell transcriptomics provides critical insights, yet a persistent gap remains in computational tools for det...
Effective workflow from multimodal MRI data to model-based prediction
Predicting human behavior from neuroimaging data remains a complex challenge in neuroscience. To address this, we propose a systematic and multi-faceted framework that incorporates...
Unveiling spatial domains from spatial multi-omics data using dual-graph regularized ensemble learning
With the rapid advancement of spatial multi-omics technologies, the simultaneous analysis of molecular profiles and spatial locations has provided unprecedented insights into cellu...
Multistage pig identification using a sequential ear tag detection pipeline
Reliable animal identification in livestock husbandry is essential for various applications, including behavioral monitoring, welfare assessment, and the analysis of social structu...
AI Accelerator Institute
LLMOps in action: How we move GenAI from prototype to production
Struggling to get your GenAI prototype into production? Discover how LLMOps helps streamline deployment – fast, scalable, and reliable.
LLMOps Virtual Summit, May 2025
Catch up on every session from LLMOps Virtual Summit, with sessions from the likes of Google, Unicef, Capital One, Linkedin and more...
CAP theorem in ML: Consistency vs. availability
How the CAP theorem affects ML pipelines—what consistency and availability trade-offs mean for data ingestion, training, and model serving.
How to build autonomous AI agent with Google A2A protocol
How to build autonomous AI agent with Google A2A protocol, Google Agent Development Kit (ADK), Llama Prompt Guard 2, Gemma 3 & Gemini 2.0 Flash.
Building & securing AI agents: A tech leader crash course
Join us for an exclusive deep dive, as we explore the evolving landscape of AI agents and best practices for securing them.
What exactly is an AI agent – and how do you build one?
What is an AI agent? Learn how to build them, how to scale them, and why most teams never make it past the prototype phase.
The future of IoT is agentic and autonomous
Agentic AI enables autonomous, goal-driven decision-making across the IoT, transforming smart homes, cities, and industrial systems.
Building efficient data pipelines for AI and NLP applications in AWS
We discuss designing a high-performance data pipeline using only basic AWS services like Amazon S3, AWS Lambda, AWS Glue, and Amazon SageMaker for AI and NLP applications.
Future trends of AI adoption in enterprises 2025 Report
Gain the edge over your competitors and fast-track applied AI success.
Future trends of AI adoption in enterprises 2025 Report
Gain the edge over your competitors and fast-track applied AI success.
ΑΙhub
Exploring counterfactuals in continuous-action reinforcement learning
What is vibe coding? A computer scientist explains what it means to have AI write computer code − and what risks that can entail
Gearing up for RoboCupJunior: Interview with Ana Patrícia Magalhães
Interview with Mahammed Kamruzzaman: Understanding and mitigating biases in large language models
Google’s SynthID is the latest tool for catching AI-made content. What is AI ‘watermarking’ and does it work?
The Good Robot podcast: Symbiosis from bacteria to AI with N. Katherine Hayles
Preparing for kick-off at RoboCup2025: an interview with General Chair Marco Simões
Graphic novel explains the environmental impact of AI
Interview with Amar Halilovic: Explainable AI for robotics
Congratulations to the #IJCAI2025 award winners
NVIDIA Blog
Step Inside the Vault: The ‘Borderland’ Series Arrives on GeForce NOW
Stream the 'Borderland' series on GeForce NOW before 'Borderlands 4' launches in the cloud. They lead the 13 games joining the cloud.
Plug and Play: Build a G-Assist Plug-In Today
Join NVIDIA’s Plug-In Hackathon and build new AI tools for a chance to win prizes.
Hexagon Taps NVIDIA Robotics and AI Software to Build and Deploy AEON, a New Humanoid
The humanoid robot can help build digital twins for manufacturing and other industries.
NVIDIA and Deutsche Telekom Partner to Advance Germany’s Sovereign AI
The companies are building the world’s first industrial AI cloud for European manufacturers.
Turn RTX ON With 40% Off Performance Day Passes
Jump into the cloud today to catch the launch of ‘Dune: Awakening’ in the cloud, along with the ‘Frosthaven’ demo, part of nine games joining GeForce NOW this week.
NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs
Performance doubled with 40% less VRAM plus new TensorRT for RTX software development kit now available for developers.
NVIDIA CEO Drops the Blueprint for Europe’s AI Boom
In Paris, Jensen Huang laid out how the continent is scaling up with Blackwell-powered factories, agentic AI and sovereign clouds — all part of Europe’s new intelligence infrastruc...
European Broadcasting Union and NVIDIA Partner on Sovereign AI to Support Public Broadcasters
The EBU to bring sovereign AI frameworks that prioritize local governance and public trust to more than 110 member organizations across 50+ countries.
Calling on LLMs: New NVIDIA AI Blueprint Helps Automate Telco Network Configuration
The blueprint provides telcos with a recipe for building autonomous networks to drive significant improvements in network performance and efficiency with an agentic AI-based framew...
NVIDIA Brings Physical AI to European Cities With New Blueprint for Smart City AI
NVIDIA today announced the NVIDIA Omniverse Blueprint for smart city AI, a reference framework that brings physical AI to entire cities and their critical infrastructure.
MachineLearningMastery.com
10 Must-Know Python Libraries for MLOps in 2025
Unlocking Performance: Accelerating Pandas Operations with Polars
7 Concepts Behind Large Language Models Explained in 7 Minutes
Interpolation in Positional Encodings and Using YaRN for Larger Context Window
How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models
Positional Encodings in Transformer Models
Advanced Feature Engineering Using Scikit-Learn Pipelines with Pandas’ ColumnTransformer and NumPy Arrays
Navigating Imbalanced Datasets with Pandas and Scikit-learn
Step-by-Step Guide to Deploying Machine Learning Models with FastAPI and Docker
Implementing Vector Search from Scratch: A Step-by-Step Tutorial
NVIDIA Technical Blog
Run Multimodal Extraction for More Efficient AI Pipelines Using One GPU
As enterprises generate and consume increasing volumes of diverse data, extracting insights from multimodal documents, like PDFs and presentations…
Real-Time IT Incident Detection and Intelligence with NVIDIA NIM Inference Microservices and ITMonitron
In today’s fast-paced IT environment, not all incidents begin with obvious alarms. They may start as subtle, scattered signals, a missed alert…
Finding the Best Chunking Strategy for Accurate AI Responses
A chunking strategy is the method of breaking down large documents into smaller, manageable pieces for AI retrieval. Poor chunking leads to irrelevant results…
Improved Performance and Monitoring Capabilities with NVIDIA Collective Communications Library 2.26
The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multinode communication primitives optimized for NVIDIA GPUs and networking.
Compiler Explorer: An Essential Kernel Playground for CUDA Developers
Have you ever wondered exactly what the CUDA compiler generates when you write GPU kernels? Ever wanted to share a minimal CUDA example with a colleague…
How Early Access to NVIDIA GB200 Systems Helped LMArena Build a Model to Evaluate LLMs
LMArena at the University of California, Berkeley is making it easier to see which large language models excel at specific tasks, thanks to help from NVIDIA and…
AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science
NVIDIA leverages data science and machine learning to optimize chip manufacturing and operations workflows—from wafer fabrication and circuit probing to…
Benchmarking LLM Inference Costs for Smarter Scaling and Deployment
This is the third post in the large language model latency-throughput benchmarking series, which aims to instruct developers on how to determine the cost of LLM…
Fine-Tuning LLMOps for Rapid Model Evaluation and Ongoing Optimization
Large language models (LLMs) have created unprecedented opportunities across various industries. However, moving LLMs from research and development into…
Getting Started with Project G-Assist: Build a Twitch-Integrated Plug-in
Today, tweaking your PC to suit your workflows often involves digging through menus and settings across multiple control panels. Project G-Assist is an…
Deeptech - Tech.eu
The Ministry of Defence-spun out startup factory you’ve never heard of
Can the BRYCK Alliance turn the Ruhr region into Germany’s deeptech launchpad?
HoloMem awarded Innovate UK Smart Grant to validate holographic data storage
SpAItial emerges from stealth with $13M Seed for AI-native 3D applications
Lithuania’s Genomika joins €5.2M DiDAX Project to advance DNA data storage
Qubit Pharmaceuticals harnesses quantum AI to crack chemistry’s greatest challenges
Optics11 raises €17M to enhance power infrastructure resilience in Europe
Former NATO Secretary backs Final Frontier's defencetech Fund
Embargo 13/5 8am GMT: Dutch Imaging Startup Eyeo Raises €15M to Commercialize Revolutionary Color-Splitting Sensor Technology
British compute sector surged ahead in 2024, report shows
Blog | DataRobot
Why your agentic AI will fail without an AI gateway
What is an AI gateway? And why does your enterprise need one to scale AI securely and cost-effectively? Unpack the answer in our latest blog.
Designing Pareto-optimal GenAI workflows with syftr
Navigate the complexity of agentic AI with syftr, an open source tool for finding Pareto-optimal GenAI workflows. Learn more in the blog post.
Simplifying secure on-prem AI with Nutanix and DataRobot
Learn how Nutanix and DataRobot secure on-prem AI with a fully integrated platform built for regulated industries and agentic AI apps.
How to avoid hidden costs when scaling agentic AI
Hidden costs can quietly derail your agentic AI strategy. Discover what to watch for—and how to scale with cost efficiency and control.
Forecast demand with precision using advanced AI for SAP IBP
Enhance SAP IBP with AI-driven demand forecasting. See how the Demand Planning App improves accuracy, reduces stockouts, and drives smarter decisions.
Why LLM hallucinations are key to your agentic AI readiness
AI hallucinations are the hidden cost drivers and risk factors in agentic AI workflows. Discover what they signal about your AI readiness.
The enterprise path to agentic AI
Feeling the pressure to adopt agentic AI? Learn how to scale safely through the evolving stages and avoid costly mistakes along the way.
DataRobot with NVIDIA: The fastest path to production-ready AI apps and agents
Deploy agentic AI faster with DataRobot and NVIDIA AI Enterprise. Learn how to develop and deliver apps that solve complex use cases.
Talk to My Data: Instant, explainable answers with agentic AI
Learn how to seamlessly integrate generative AI and agentic AI into your decision-making process. Discover Talk to My Data.
Why AI leaders can’t afford the cost of fragmented AI tools
Fragmented AI tools inflate costs and hinder efficiency. Learn how interoperable solutions improve workflows while reducing expenses.
Google DeepMind Blog
Gemini 2.5: Updates to our family of thinking models
Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro and Flash generally available and stable, and the new Flash-Lite in preview.
We’re expanding our Gemini 2.5 family of models
Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet.
Behind “ANCESTRA”: combining Veo with live-action filmmaking
We partnered with Darren Aronofsky, Eliza McNitt and a team of more than 200 to make ANCESTRA.
How we're supporting better tropical cyclone prediction with AI
We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re partnering with the U.S. National Hurricane Center to support their forecasts and warnings th...
Advanced audio dialog and generation with Gemini 2.5
Gemini 2.5 has new capabilities in AI-powered audio dialog and generation.
Gemini 2.5: Our most intelligent models are getting even better
At I/O 2025, we shared updates to our Gemini 2.5 model series and Deep Think, an experimental enhanced reasoning mode for 2.5 Pro.
Fuel your creativity with new generative media models and tools
From Imagen 4 and Veo 3 to Flow, try these new generative media tools today.
Our vision for building a universal AI assistant
At Google I/O, we discussed how we're extending Gemini to become a world model.
Advancing Gemini's security safeguards
We’ve made Gemini 2.5 our most secure model family to date.
Announcing Gemma 3n preview: Powerful, efficient, mobile-first AI
Introducing Gemma 3n – the latest Google open model for accessible AI, featuring unique flexibility, privacy, and expanded multimodal capabilities on mobile devices.
Data Science Central
The hidden cost of over-instrumentation: Why more tracking can hurt product teams
Stop tracking everything: Rethink your data strategy If you’ve ever opened a product analytics dashboard and scrolled past dozens of unlabeled metrics, charts with no viewers, and ...
How to Build and Optimize High-Performance Deep Neural Networks from Scratch
With explainable AI, intuitive parameters easy to fine-tune, versatile, robust, fast to train, without any library other than Numpy.
Unlocking the value of AI with DevOps accelerated MLOps
As businesses embark on their AI transformation journey, it is essential for them to invest in a robust AI/ML infrastructure and technology stack. This investment is crucial for en...
Revamping enterprise content management with language models
The relatively recent capacity for front-end users to interface with backend systems, documents, and other content via natural language prompts is producing several notable effects...
Decentralized ML: Developing federated AI without a central cloud
Introduction – Breaking the cloud barrier Cloud computing has been the dominant paradigm of machine learning for years. Massive data charts are uploaded on a centralized server, ro...
How to make AI work in QA
AI has radically changed Quality Assurance, breaking old inefficient ways of test automation, promising huge leaps in speed and the ability to test things we otherwise couldn't eas...
How enterprises can secure their communications
This post breaks down the biggest threats to enterprise communication and succinctly walks you through the strategies that actually work.
AI skills for the modern workplace: A guide for knowledge workers
While AI is being adopted across organizations, knowledge gaps still exist in using it mindfully and effectively in everyday tasks. These gaps present both a challenge and an oppor...
Stay ahead of the sales curve with AI-assisted Salesforce integration
AI-assisted Salesforce integration is the practice of using AI to control the configuration of triggers and scripting of syncs between Salesforce and other tools.
Generative AI in software development: Does faster code come at the cost of quality?
From creating comprehensive essays to writing intriguing fiction, there’s hardly anything untouched by the impact of generative AI. The technology has caught the attention of forwa...
Salmon Run
Book Review: Essential Graph RAG
Coming from a background of Knowledge Graph (KG) backed Medical Search, I don't need to be convinced about the importance of manually curate...
Packaging ML Pipelines from Experiment to Deployment
As an ML Engineer, we are generally tasked with solving some business problem with technology. Typically it involves leveraging data assets ...
Trip Report - PyData Global 2024
I attended PyData Global 2024 last week. Its a virtual conference, so I was able to attend it from the comfort of my home, although presenta...
Using Knowledge Graphs to enhance Retrieval Augmented Generation
Retrieval Augmented Generation (RAG) has become a popular approach to harness LLMs for question answering using your own corpus of data. Typ...
Experiments with Prompt Compression
I recently came across Prompt Compression (in the context of Prompt Engineering on Large Language Models) on this short course on Prompt Com...
Table Extraction from PDFs using Multimodal (Vision) LLMs
Couple of weeks ago a colleague and I participated in an internal hackathon where the task was to come up with an interesting use case using...
Book Report: Pandas Workout
Unlike many Data Scientists, I didn't automatically reach for Pandas when I needed to analyze data. I came upon this discipline (Data Scien...
Finetuning RAGAS Metrics using DSPy
Last month, I decided to sign-up for the Google AI Hackathon , where Google provided access to their Gemini Large Language Model (LLM) and ...
Performance Analysis of Float vs Byte vs Binary Vectors on OpenSearch
I've been working on an application where, given an input string, the objective is to recommend an output string that is similar to the inpu...
KGC/HCLS 2024 Trip Report
I was at KGC (Knowledge Graph Conference) 2024 , which is happening May 6-10 at Cornell Tech . I was presenting (virtually) at their Health ...
Big Data – SiliconANGLE
Ali Ghodsi’s data intelligence playbook: Turning data into agentic advantage
Ali Ghodsi’s data intelligence playbook: Turning data into agentic advantage - SiliconANGLE
Zilliz launches Milvus 2.6 to reduce AI infrastructure costs
Zilliz launches Milvus 2.6 to reduce AI infrastructure costs - SiliconANGLE
Databricks brings data insights to every business worker with AI-powered BI
Databricks brings data insights to every business worker with AI-powered BI - SiliconANGLE
Amperity brings vibe coding to data engineers with its first AI agent
Amperity brings vibe coding to data engineers with its first AI agent - SiliconANGLE
Beyond walled gardens: How Snowflake navigates new competitive dynamics
Beyond walled gardens: How Snowflake navigates new competitive dynamics - SiliconANGLE
What to expect during Databricks’ Data + AI Summit: Join theCUBE June 11
What's in store for theCUBE's coverage of the Databricks' event: Unified data platforms power enterprise AI -- enabling governance, scale, productivity.
Collibra acquires Raito to enhance its data security capabilities
Collibra acquires Raito to enhance its data security capabilities - SiliconANGLE
Exclusive: CData to embed its connectivity technology across Palantir analytics and AI platforms
Exclusive: CData to embed its connectivity technology across Palantir analytics and AI platforms - SiliconANGLE
MongoDB crushes expectations and its stock makes huge gains after-hours
MongoDB crushes expectations and its stock makes huge gains after-hours - SiliconANGLE
Snowflake’s platform evolution spotlights metadata blind spots: theCUBE keynote analysis
Metadata standardization is key to AI success, but fragmentation persists. Industry voices call for a unified framework to unlock real platform value.
Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Terence Tao is widely considered to be one of the greatest mathematicians in history. He won the Fields Medal and the Breakthrough Prize in Mathematics, and has contributed to a wi...
#471 – Sundar Pichai: CEO of Google and Alphabet
Sundar Pichai is CEO of Google and Alphabet. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep471-sc See below for timestamps, transcript, and to...
#470 – James Holland: World War II, Hitler, Churchill, Stalin & Biggest Battles
James Holland is a historian specializing in World War II. He hosts a podcast called WW2 Pod: We Have Ways of Making You Talk. Thank you for listening ❤ Check out our sponsors: htt...
#469 – Oliver Anthony: Country Music, Blue-Collar America, Fame, Money, and Pain
Oliver Anthony is singer-songwriter who first gained worldwide fame with his viral hit Rich Men North of Richmond. He became a voice for many who are voiceless, with many of his so...
#468 – Janna Levin: Black Holes, Wormholes, Aliens, Paradoxes & Extra Dimensions
Janna Levin is a theoretical physicist and cosmologist specializing in black holes, cosmology of extra dimensions, topology of the universe, and gravitational waves. Thank you for ...
#467 – Tim Sweeney: Fortnite, Unreal Engine, and the Future of Gaming
Tim Sweeney is a legendary video game programmer, founder and CEO of Epic Games that created the Unreal Engine, Fortnite, Gears of War, Unreal Tournament, and many other groundbrea...
#466 – Jeffrey Wasserstrom: China, Xi Jinping, Trade War, Taiwan, Hong Kong, Mao
Jeffrey Wasserstrom is a historian of modern China. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep466-sc See below for timestamps, transcript,...
#465 – Robert Rodriguez: Sin City, Desperado, El Mariachi, Alita, and Filmmaking
Robert Rodriguez is a legendary filmmaker and creator of Sin City, El Mariachi, Desperado, Spy Kids, Machete, From Dusk Till Dawn, Alita: Battle Angel, The Faculty, and his newest ...
#464 – Dave Smith: Israel, Ukraine, Epstein, Mossad, Conspiracies & Antisemitism
Dave Smith is a comedian, libertarian, political commentator, and the host of Part of the Problem podcast. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/...
#463 – Douglas Murray: Putin, Zelenskyy, Trump, Israel, Netanyahu, Hamas & Gaza
Douglas Murray is the author of On Democracies and Death Cults, The War on The West, and The Madness of Crowds. Thank you for listening ❤ Check out our sponsors: https://lexfridman...
Blog - neptune.ai
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning [Paper Reflection]
Structured pruning fits MoEs well and reduces model size, but current methods are inefficient and don’t cut active weights at inference.
Evaluating RAG Pipelines
Evaluating a RAG pipeline means assessing its behavior across three dimensions: performance, cost, latency.
How to Build an LLM Agent With AutoGen: Step-by-Step Guide
In this article we’ll introduce the fundamental building blocks of LLM agents and then walk through the process of building one from scratch.
Bayesian Deep Learning is Needed in the Age of Large-Scale AI [Paper Reflection]
In particular, we point out that there are many other metrics beyond accuracy, such as uncertainty calibration, which we have to take into account to ensure that better models also...
Introduction to State Space Models as Natural Language Models
State Space Models (SSMs) have the potential to address one of the key challenges of transformers: scaling efficiently with sequence length.
Ethical Considerations and Best Practices in LLM Development
Ethical LLM development isn’t just about compliance—it’s about building trust and accountability with users and stakeholders.
Open LLMs are Necessary For Current Private Adaptations and Outperform Their Closed Alternatives [Paper Reflection]
Findings indicate that open LLMs can be adapted to private data without leaking information to 3rd parties, such as LLM providers and malicious users. Thus, they offer a strong pri...
Learnings From Teams Training Large-Scale Models: Challenges and Solutions For Monitoring at Hyperscale
During my talk at NeurIPS,  I broke down five key lessons learned from teams facing large-scale model training and monitoring.
Mixture of Experts LLMs: Key Concepts Explained
MoEs have faster training and better or comparable performance than dense LLMs on many benchmarks, especially in multi-domain tasks.
Hyperparameter Optimization For LLMs: Advanced Strategies
Due to their computational demands, traditional methods for optimizing hyperparameters, such as grid search, are impractical for LLMs.
VITALab
MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation
MemSAM
Simplifying Deep Temporal Difference Learning
tl;dr The authors propose PQN, a simplified deep online Q-Learning that uses very small replay buffers. Normalization and parallelized sampling from vectoriz...
EchoPrime: Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
Objective EchoPrime is a foundation model designed for comprehensive echocardiographic interpretation. Unlike previous models that use single views or static...
DeepSeek-V3 Technical Report
DeepSeek-V3
Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting
Highlights
Implicit neural representations
Implicit neural networks
Foundations of diffusion networks
Diffusion networks As there’s a lot of recent developments around image generation and diffusion models in general, I took a deep dive in the fundamentals of...
EchoNarrator: Generating natural text explanations for ejection fraction predictions
Introduction
Retrieval Augmented Generation with Knowledge Graphs
Quick Summary GraphRAG is RAG where the retrieval path utilizes a knowledge graph. It improves the comprehensiveness and diversity of answers compared to RAG...
Some recent activation functions mimicking ReLU
Activation functions play a critical role in deep learning, influencing how models learn and generalize. Below is a description of the relationships between ...
Nanonets Blog | AI Document Processing & Workflow Automation
Xero AI: How to improve AP and invoice tasks
See how Nanonets enhances Xero AI for accounts payable, invoice automation, PO matching, and analytics—without changing your existing workflow.
AI for QuickBooks: Automate invoice and AP management
Discover how AI-powered Intuit Assist and Nanonets automate invoice processing, PO matching, and accounting workflows in QuickBooks to save you hours.
Sage Intacct AI features guide: Enhance your AP automation workflows
Learn how Sage Intacct's AI features automate financial workflows, and discover how to extend these capabilities with Nanonets for complete AP automation.
Medical record automation: How a leading underwriting provider transformed their document review process
See how intelligent automation helped a leading underwriter process medical records faster, free up doctors’ time, and streamline life expectancy calculations.
Back office automation for insurance companies: A success story
See how AI automation slashed insurance claim processing times, saved millions, and turned regulatory pressure into a competitive advantage.
Supplier order management: How a furniture retailer automated order confirmation processing
See how AI-powered document processing helped them cut 70+ hours weekly, eliminate errors costing €144,000+ annually, and enabled automated customer updates—all without expanding s...
How to automate data extraction in healthcare: A quick guide
Slash healthcare admin costs, eliminate manual data entry, and process patient registration documents in seconds. Learn how automated data extraction in healthcare works.
How Small Law Firms Can Compete with Bigger Firms Using Automation
Estate planning bottlenecks? See how small law firms use Nanonets to automate workflows and save 40+ hours a week—no IT needed.
Why Manual Data Entry Is Killing Estate Planning Productivity
Drowning in estate planning paperwork? Learn how firms automate document processing to save time, cut errors, and boost productivity.
Identifying the Best OCR API: Benchmarking OCR APIs on Real-World Documents
This article provides an objective, data-driven benchmarking comparison that helps developers and enterprises choose the best OCR API for their needs.
inFERENCe
Discrete Diffusion: Continuous-Time Markov Chains
A tutorial explaining some intuitions behind continuous time Markov chains for machine learners interested in discrete diffusion models.
We may finally crack Maths. But should we?
Automating mathematical theorem proving has been a long standing goal of artificial intelligence and indeed computer science. It's one of the areas I became very interested in rece...
Mortal Komputation: On Hinton's argument for superhuman AI.
Last week in Cambridge was Hinton bonanza. He visited the university town where he was once an undergraduate in experimental psychology, and gave a series of back-to-back talks, Q&...
Autoregressive Models, OOD Prompts and the Interpolation Regime
A few years ago I was very much into maximum likelihood-based generative modeling and autoregressive models (see this, this or this). More recently, my focus shifted to characteris...
We May be Surprised Again: Why I take LLMs seriously.
"Deep Learning is Easy, Learn something Harder" - I proclaimed in one of my early and provocative blog posts from 2016. While some observations were fair, that post is now evidence...
Implicit Bayesian Inference in Large Language Models
This intriguing paper kept me thinking long enough for me to I decide it's time to resurrect my blogging (I started writing this during ICLR review period, and realised it might be...
Eastern European Guide to Writing Reference Letters
Excruciating. One phrase I often use to describe what it's like to read reference letters for Eastern European applicants to PhD and Master's programs in Cambridge. Even objectiv...
Causal inference 4: Causal Diagrams, Markov Factorization, Structural Equation Models
This post is written with my PhD student and now guest author Patrik Reizinger [https://twitter.com/rpatrik96] and is part 4 of a series of posts on causal inference: * Part 1: I...
On Information Theoretic Bounds for SGD
Few days ago we had a talk by Gergely Neu, who presented his recent work: * Gergely Neu Information-Theoretic Generalization Bounds for Stochastic Gradient Descent [https://ar...
Notes on the Origin of Implicit Regularization in SGD
I wanted to highlight an intriguing paper I presented at a journal club recently: * Samuel L Smith, Benoit Dherin, David Barrett, Soham De (2021) On the Origin of Implicit Reg...
deepcognition.ai
De Minimis Is Fading, and AI Is Your Lifeline
The flood of full customs entries has started, and AI is the only way for customs brokers to keep up. It handles the prep work, so your team can focus on what only brokers can do. ...
Beyond Paperwork: How Automation Transforms Customs Brokerage and Freight Forwarding
Walk into any bustling freight forwarding or customs brokerage office, and you’ll witness the daily onslaught of commercial invoices, bills of lading and packing lists. The deadlin...
Empowering, Not Replacing: How AI-Powered Data Entry Enhances Your Team’s Capabilities
AI is not here to take your job but to eliminate bottlenecks and enhance your capabilities by automating repetitive, time-consuming data entry tasks.
Start Smart With AI: Why Document Automation Is the Ideal First Step for Enterprises
Document automation increases workflow efficiency and reduces the likelihood of errors. Discover more benefits of automation.
How AI-Powered Commercial Invoice Automation Streamlines Your Business
Discover how AI invoice automation reduces errors, speeds up processing times and streamlines operations for businesses in the freight forwarding and customs brokerage industry.
Elevate Your Business Operations With Unrivaled Document Automation
Discover how AI-powered document automation can streamline workflow and revolutionize business operations.
How To Stay Competitive and Future-Proof Your Business by Leveraging AI
AI is transforming the way we do business. Here's how you can integrate AI-driven innovation into your operations and stay ahead of the competition.
AI-Assisted Data Entry: How the Modern Customs Broker Stays Competitive in the Digital Age
Discover how freight forwarders and customs brokers can leverage AI data entry to provide better services and further business goals.
Introducing the All-New Deep Cognition Website
Discover the redesigned Deep Cognition website with improved navigation, new features, and resources for AI-based solutions. Visit now!
How Can Data Entry Automation Increase Your ROI in 2024?
Digitally transform your manual data entry processes and find out how it can help increase your ROI in 2024. Read our blog to find out more
Lil'Log
Why We Think
Special thanks to John Schulman for a lot of super valuable feedback and direct edits on this post. Test time compute (Graves et al. 2016, Ling, et al. 2017, Cobbe et al. 2021) and...
Reward Hacking in Reinforcement Learning
Reward hacking occurs when a reinforcement learning (RL) agent exploits flaws or ambiguities in the reward function to achieve high rewards, without genuinely learning or completin...
Extrinsic Hallucinations in LLMs
Hallucination in large language models usually refers to the model generating unfaithful, fabricated, inconsistent, or nonsensical content. As a term, hallucination has been somewh...
Diffusion Models for Video Generation
Diffusion models have demonstrated strong results on image synthesis in past years. Now the research community has started working on a harder task—using it for video generation. T...
Thinking about High-Quality Human Data
[Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. 🙏 ] High-quality data is the fuel for modern data...
Adversarial Attacks on LLMs
The use of large language models in the real world has strongly accelerated by the launch of ChatGPT. We (including my team at OpenAI, shoutout to them) have invested a lot of effo...
LLM Powered Autonomous Agents
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspi...
Prompt Engineering
Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weig...
The Transformer Family Version 2.0
Many new Transformer architecture improvements have been proposed since my last post on “The Transformer Family” about three years ago. Here I did a big refactoring and enrichment ...
Large Transformer Model Inference Optimization
[Updated on 2023-01-24: add a small section on Distillation.] Large transformer models are mainstream nowadays, creating SoTA results for a variety of tasks. They are powerful but ...
Datumbox
VernamVeil: A Fresh Take on Function-Based Encryption
The journey of Modernizing TorchVision – Memoirs of a TorchVision developer – 3
A sneak peek at TorchVision v0.11 – Memoirs of a TorchVision developer – 2
New Blog series – Memoirs of a TorchVision developer
How to take S3 backups with DejaDup on Ubuntu 20.10
Datumbox Machine Learning Framework v0.8.2 released
How to get around Dropbox’s symlink limitations on Linux
The Batch Normalization layer of Keras is broken
5 tips for multi-GPU training with Keras
Ubuntu 17.10: a last minute review
TOPBOTS
The AI Agent Race Heats Up: Who’s Leading in 2025?
Explore the top AI agent companies of 2025 – including OpenAI, Google, Microsoft, Anthropic, Amazon, and startups like Monica – driving the future of autonomous digital agents thro...
How Do LLMs Think? 5 Approaches Powering the Next Generation of AI Reasoning
The answer lies in a constellation of new techniques that transform LLMs into more methodical thinkers. Here's a look at five of the most influential strategies pushing reasoning L...
Injecting Domain Expertise Into Your AI System
Beyond DeepSeek: An Overview of Chinese AI Tigers and Their Cutting-Edge Innovations
We will explore DeepSeek and five of the most influential Chinese AI startups: Moonshot AI, Zhipu AI, Baichuan AI, MiniMax, and 01.AI.
Carving Out Your Competitive Advantage With AI
Advancing AI in 2024: Highlights from 10 Groundbreaking Research Papers
We delve into ten groundbreaking AI research papers of 2024. Produced by leading labs such as Meta, Google DeepMind, Stability AI, Anthropic, and Microsoft, these studies showcase ...
From Code to Robots: The Top AI Trends Transforming Business and Life
We explore the top 10 AI trends, from the rise of multimodal systems to the increasing demand for smaller, more efficient models.
The AI Investment Landscape: Who’s Funding the Next Wave of Innovation?
Whether you're an investor or simply curious about the evolving AI landscape, this article will help you navigate the trends and identify where the smart money is flowing in AI tod...
Humanoid Robots on the Rise: Industry Advances, Key Players, and Adoption Timelines
We will delve into the favorable factors driving the progress in humanoid robotics as well as key challenges, major players, and adoption perspectives.
Accelerate Your AI Skills: Essential Generative AI Courses for Developers
The Berkeley Artificial Intelligence Research Blog
Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
Repurposing Protein Folding Models for Generation with Latent Diffusion
Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment
Virtual Personas for Language Models via an Anthology of Backstories
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark
Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks Benchmark!
TinyAgent: Function Calling at the Edge
Modeling Extremely Large Images with xT
2024 BAIR Graduate Directory
Jay Alammar
Moving To Substack
I’m freezing this blog and starting to post on my Substack instead. The authoring experience is much more convenient for me there. Please follow me there, and check out The Illustr...
Generative AI and AI Product Moats
Here are eight observations I’ve shared recently on the Cohere blog and videos that go over them.: Article: What’s the big deal with Generative AI? Is it the future or th...
Remaking Old Computer Graphics With AI Image Generation
Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my ch...
The Illustrated Stable Diffusion
Translations: Chinese, Vietnamese. (V2 Nov 2022: Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the ...
Applying massive language models in the real world with Cohere
A little less than a year ago, I joined the awesome Cohere team. The company trains massive language models (both GPT-like and BERT-like) and offers them as an API (which also supp...
The Illustrated Retrieval Transformer
Discussion: Discussion Thread for comments, corrections, or any feedback. Translations: Korean, Russian Summary: The latest batch of language models can be much smaller yet ac...
Explainable AI Cheat Sheet
Introducing the Explainable AI Cheat Sheet, your high-level guide to the set of tools and methods that helps humans understand AI/ML models and their predictions. I introduce t...
Finding the Words to Say: Hidden State Visualizations for Language Models
By visualizing the hidden state between a model's layers, we can get some clues as to the model's
Interfaces for Explaining Transformer Language Models
Interfaces for exploring transformer language models by looking at input saliency and neuron activation. Explorable #1: Input saliency of a list of c...
How GPT3 Works - Visualizations and Animations
Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Korean, Chinese (Simplified), Russian, Turkish The ...
Future of Life Institute
Are we close to an intelligence explosion?
AIs are inching ever-closer to a critical threshold. Beyond this threshold lie great risks—but crossing it is not inevitable.
The Impact of AI in Education: Navigating the Imminent Future
What must be considered to build a safe but effective future for AI in education, and for children to be safe online?
Context and Agenda for the 2025 AI Action Summit
The AI Action Summit will take place in Paris from 10-11 February 2025. Here we list the agenda and key deliverables.
A Buddhist Perspective on AI: Cultivating freedom of attention and true diversity in an AI future
The AI-facilitated intelligence revolution is claimed by some to be setting humanity on a glidepath into utopian futures of nearly effortless satisfaction and frictionless choice. ...
Could we switch off a dangerous AI?
New research validates age-old concerns about the difficulty of constraining powerful AI systems.
Paris AI Safety Breakfast #4: Rumman Chowdhury
The fourth of our 'AI Safety Breakfasts' event series, featuring Dr. Rumman Chowdhury on algorithmic auditing, "right to repair" AI systems, and the AI Safety and Action Summits.
AI Safety Index Released
The Future of Life Institute has released its first safety scorecard of leading AI companies, finding many are not addressing safety concerns while some have taken small initial st...
Why You Should Care About AI Agents
Powerful AI agents are about to hit the market. Here we explore the implications.
Max Tegmark on AGI Manhattan Project
A new report for Congress recommends that the US start a "Manhattan Project" to build Artificial General Intelligence. To do so would be a suicide race.
FLI Statement on White House National Security Memorandum
Last week the White House released a National Security Memorandum concerning AI governance and risk management. The NSM issues guidance […]
Becoming Human: Artificial Intelligence Magazine - Medium
AGI in 2025 |Do you think what matters today will still matter in the coming months? TL;DR: No!
OpenAI, Sam Altman, Elon Musk, xAI, Anthropic, Gemini, Google, Apple… all these companies are racing to build AGI by 2025, and once achieved, it will be replicated by dozens of oth...
When Algorithms Dream of Photons: Can AI Redefine Reality Like Einstein?
In 1905, Albert Einstein published a paper on the photoelectric effect — a deceptively simple observation that light could eject electrons from metals. This work, which later won h...
Be Part of the AI Revolution at the Chatbot Conference Tomorrow!
Tomorrow, September 24, 2024, San Francisco will host one of the biggest global AI events of the year: the Chatbot Conference! Whether you’re passionate about artificial intelligen...
Join the Most-Awaited Chatbot Conference
The conference features a range of events designed to enrich attendees’ understanding of the chatbot industry: With upcoming events already lined up, now is the time to get involve...
Limited Time Offer: Get Your Exclusive Online Passes to the Chatbot Conference — Act Fast!
Exciting news ahead! With an incredible surge of enthusiasm, we're rolling out an exclusive Online Only option for this year's Chatbot Conference, kicking things off with an absolu...
Demystifying AI in the Water Industry
Water industry professionals explored the intersection of artificial intelligence (AI) and machine learning (ML) during a pre-conference workshop in Ocean City, Maryland yesterday,...
Building a Local Face Search Engine — A Step by Step Guide
In this entry (Part 1) we’ll introduce the basic concepts for face recognition and search, and implement a basic working solution purely in Python. At the end of the article you wi...
Understanding the cp Command in Bash
The cp command in Bash is used to copy files and directories from one location to another.. “Understanding the cp Command in Bash” is published by Javascript Jeep🚙💨 in Becoming Hum...
Save up to $400 on Your Conference Tickets!
Whether you’re a returning attendee or new to our community, this is the perfect chance to experience the future of AI and chatbot technology at a discounted rate. Simply go to the...
Why Apple Intelligence Might Fall Short of Expectations?
Explore potential pitfalls in Apple's ambitious AI vision, from privacy concerns to user experience challenges.
David Stutz
Some Lessons on Reviews and Rebuttals
Writing and responding to reviews is the bread and butter of any academic and especially in AI research, PhD students are confronted with both rather early compared to other displi...
Thoughts on Watermarking AI-Generated Content
Watermarking AI-generated content has the potential to address various problems that generative AI threatens to aggravate — misinformation, impersonation, copyright infringement, w...
Thoughts and Lessons for Planning Rater Studies in AI
With the goal of deploying generative AI systems, rater studies are becoming increasingly common and important. This means more and more researchers and engineers face the challeng...
Open-Sourcing Relabeled MedQA and Dermatology DDx Datasets
Dealing with rater disagreement is becoming more important in AI, especially for LLMs and in specialized domains such as health. In the past year, I helped open source two datasets...
Thinking About Research Ideas vs. Technology
In this article, I want to share some thoughts on the difference between research ideas and technology, particularly in machine learning. This distinction is have been contemplatin...
The Importance of Effectively Experimenting in an AI PhD
Engineering and running experiments are a key component of most PhDs in AI. While there are plenty of more theoretical topics that are often limited to smaller scale experimentatio...
FAQ for our Monte Carlo Conformal Prediction
Over the past months, I have given several talks about Monte Carlo conformal prediction and the problem of calibrating with uncertain ground truth, for example, stemming from annot...
Documenting your PhD — Keeping Track of Meetings, Experiments and Decisions
A PhD can be a difficult endeavour. While becoming an expert in tackling a specific problems, it is easy to lose track of things: Have I read this paper before? What was the paper ...
On NeurIPS’ High School Paper Track
The decision to have a separate High School Project Track at NeurIPS 2024 has sparked quite some controversy, with many prominent AI researchers debating pros and cons and personal...
Thoughts on Academia and Industry in Machine Learning Research
A recent conversation with Jay Shah on his podcast made me think more about career choices and the question of "academia vs. industry" after completing a PhD. Since finishing my Ph...
AI Weirdness
Minecraft with object impermanence
I generally am uninterested in generative AI that's too close to the real thing. But every once in a while there's a modern AI thing that's so glitchy and broken that it's strangel...
Bonus: In Which The Adventurer Attempts to Build a Website
AI Weirdness: the strange side of machine learning
Botober 2024
Back by popular demand, here are some AI-generated drawing prompts to use in this, the spooky month of October! Longtime AI Weirdness readers may recognize some of these. That's b...
Bonus: "Ignore all previous instructions" gets weirder
Add particular strings of nonsense-sounding characters to your request and LLM chatbots will do whatever you ask for. Chatbot output is fundamentally nothing like human conversatio...
An exercise in frustration
There's an anonymous facebook posting that's been making the rounds, in which a studio art director tried to hire AI prompters to make art, only to discover that they were complete...
Bonus: A unicorn goes downhill
AI Weirdness: the strange side of machine learning
Hidden 3D Pictures
Do you know those autostereograms with the hidden 3D pictures? Images like the Magic Eye pictures from the 1990s that look like noisy repeating patterns until you defocus your eyes...
Hidden sheep
AI Weirdness: the strange side of machine learning
Shaped like information
Hey look, it's a guide to basic shapes! Not only does it have the basic shapes like circle, tringle, hectanbie, and sqale, it also has some of the more advanced shapes like renstq...
Bonus: More shape shaped shapes
The image I shared in my main post isn't one of the more incorrect examples of DALL-E3 generated guides - it's actually one of the more correct ones. Here's another generated imag...
JMLR
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
Invariant Subspace Decomposition
Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares
Causal Effect of Functional Treatment
Uplift Model Evaluation with Ordinal Dominance Graphs
High-Dimensional L2-Boosting: Rate of Convergence
Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
Posit AI Blog
Introducing mall for R...and Python
We are proud to introduce the {mall} package. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall}...
Introducing Keras 3 for R
We are thrilled to introduce {keras3}, the next version of the Keras R package. {keras3} is a ground-up rebuild of {keras}, maintaining the beloved features of the original while r...
News from the sparkly-verse
Highlights to the most recent updates to `sparklyr` and friends
Chat with AI in RStudio
Interact with Github Copilot and OpenAI's GPT (ChatGPT) models directly in RStudio. The `chattr` Shiny add-in makes it easy for you to interact with these and other Large Language...
Hugging Face Integrations
Hugging Face rapidly became a very popular platform to build, share and collaborate on deep learning applications. We have worked on integrating the torch for R ecosystem with Hug...
Understanding LoRA with a minimal example
LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning models that works by reducing the number of trainable parameters and enables efficient task switching. I...
GPT-2 from scratch with torch
Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate successor...
What are Large Language Models? What are they not?
This is a high-level, introductory article about Large Language Models (LLMs), the core technology that enables the much-en-vogue chatbots as well as other Natural Language Process...
safetensors 0.1.0
Announcing safetensors, a new R package allowing for reading and writing files in the safetensors format.
torch 0.11.0
torch v0.11.0 is now on CRAN. This release features much-enhanced support for executing JIT operations. We also amended loading of model parameters, and added a few quality-of-life...
Damian Bogunowicz - dtransposed
I Completed The David Goggins Challenge And Asked My Garmin How I Did
A Video Game that Pays: Lessons Learned from Working Remotely
Deep Dive into NeRF (Neural Radiance Fields)
Learning by Doing - the DeFi Quest (Part 2 out of 2)
Learning by Doing - the DeFi Quest (Part 1 out of 2)
So You Want to Study Computer Science (in Europe)?
Mixed Martial Maths - Simple Reasoning Tools For Complex Phenomena
Notes - Prisoners of Geography (Tim Marshall)
Robotic Assembly Using Deep Reinforcement Learning
Research Paper Summary - The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Seita's Place
My Faculty Application Experience
I spent roughly a year preparing, and then interviewing, for tenure-trackfaculty positions. My job search is finally done, and I am joining theUniversity of ...
Books Read in 2022
At the end of every year I have a tradition where I write summaries of thebooks that I read throughout the year. Unfortunately this year wasexceptionally bus...
Conference on Robot Learning 2022
The airplanes on display at the CoRL 2022 banquet.
The 2022 Robotics: Science and Systems Conference
A photo I took while at RSS 2022 in New York City, on the dinner cruise arranged by the conference.
The (In-Person) ICRA 2022 Conference in Philadelphia
A photo I took while at ICRA 2022 in Philadelphia. This is the
Two New Papers: Learning to Fling and Singulate Fabrics
The system for our IROS 2022 paper on singulating layers of cloth with tactile sensing.
A Plea to End Harassment
Scott Aaronson is a professor of computer science at UT Austin, where hisresearch area is in theoretical computer science. However, he may be more wellknown ...
My Paper Reviewing Load
This is a regularly updated post, last updated June 10, 2025.
I Stand with Ukraine
I stand with Ukraine and firmly oppose Vladimir Putin’s invasion.
Books Read in 2021
At the end of every year I have a tradition where I write summaries of thebooks that I read throughout the year. Here’s the following post with the roughset ...
NEWS & BLOG - EDIA
ELG book now available
European Language Grid. A Language Technology Platform for Multilingual Europe.
Innovations, investments, and ROI: to make or to buy?
Embracing content agility is key. But what about the associated investments? Is it better for publishers to make or buy innovations?
After digitalisation comes automation: the publisher's best next step
What to do once you've embraced content agility and implemented digitalisation tools? Why is automation the publisher's best next step?
How to arrive at content agility: 3 stages of an agile process
The road towards content agility is rather agile in itself. It requires a brand-new approach. How to go from a linear to a modular view?
Why embracing content agility is key
Personalised learning requires content to be customisable — all the time. So, when it comes to educational content, content agility is key.
Content metadata: a recap on why you should really automate content labelling
Why are some types of labels particularly interesting to automate? And what's next for future-proof companies that have embraced automation?
Content metadata: the 'why' and 'what' of learning objectives tagging and automated labelling
What is learning objectives tagging? Why is it useful? And how will it benefit from automated labelling?
Content metadata: what automated labels can do for topic classification
What is topic classification? How does it differ from keyword extraction? And why will it benefit from automated labelling?
Content metadata: why keyword extraction requires automated labelling
What is keyword extraction? Why does it require automated labelling? And what are the benefits of automation?
Content metadata: automated labelling and the CEFR
What is the CEFR? Why and how should you use automated labelling? And what are the benefits of automation?
ML in Production
Driving Experimentation Forward through a Working Group (Experimentation Program Series: Guide 03)
We describe how diverse stakeholders can drive experimentation forward through the formation of a working group and what role data science plays.
What is an Experimentation program and Who is Involved? (Experimentation Program Series: Guide 02)
We define what an experimentation program is and discuss which stakeholder groups should participate in order to drive experimentation forward.
Building An Effective Experimentation Program (Experimentation Program Series: Guide 01)
An introduction to building an effective experimentation program at your company.
Lessons Learned from Writing Online
Where I share my story writing MLinProduction and key metrics from building my audience and monetization.
Newsletter #087
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #086
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #085
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #084
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #083
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #082
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Andrej Karpathy blog
Deep Neural Nets: 33 years ago and 33 years from now
A from-scratch tour of Bitcoin in Python
Short Story on AI: Forward Pass
Biohacking Lite
A Recipe for Training Neural Networks
(started posting on Medium instead)
A Survival Guide to a PhD
Deep Reinforcement Learning: Pong from Pixels
Short Story on AI: A Cognitive Discontinuity.
What a Deep Neural Network thinks about your #selfie
AI Trends
Best Practices for Building the AI Development Platform in Government
AI Trends - The Business and Technology of Enterprise AI
Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI
AI Trends - The Business and Technology of Enterprise AI
Promise and Perils of Using AI for Hiring: Guard Against Data Bias
AI Trends - The Business and Technology of Enterprise AI
Predictive Maintenance Proving Out as Successful AI Use Case
AI Trends - The Business and Technology of Enterprise AI
Novelty In The Game Of Go Provides Bright Insights For AI And Autonomous Vehicles
AI Trends - The Business and Technology of Enterprise AI
Getting Government AI Engineers to Tune into AI Ethics Seen as Challenge
AI Trends - The Business and Technology of Enterprise AI
Digital Natives Seen Having Advantages as Part of Government AI Engineering Teams
AI Trends - The Business and Technology of Enterprise AI
How Accountability Practices Are Pursued by AI Engineers in the Federal Government
AI Trends - The Business and Technology of Enterprise AI
Startup: AssemblyAI Represents New Generation Speech Recognition
AI Trends - The Business and Technology of Enterprise AI
Pursuit of Autonomous Cars May Pose Risk of AI Tapping Forbidden Knowledge
Distill
Understanding Convolutions on Graphs
Understanding the building blocks and design choices of graph neural networks.
A Gentle Introduction to Graph Neural Networks
What components are needed for building learning algorithms that leverage the structure and properties of graphs?
Distill Hiatus
After five years, Distill will be taking a break.
Adversarial Reprogramming of Neural Cellular Automata
Reprogramming Neural CA to exhibit novel behaviour, using adversarial attacks.
Weight Banding
Weights in the final layer of common visual models appear as horizontal bands. We investigate how and why.
Branch Specialization
When a neural network layer is divided into multiple branches, neurons self-organize into coherent groupings.
Multimodal Neurons in Artificial Neural Networks
We report the existence of multimodal neurons in artificial neural networks, similar to those found in the human brain.
Self-Organising Textures
Neural Cellular Automata learn to generate textures, exhibiting surprising properties.
Visualizing Weights
We present techniques for visualizing, contextualizing, and understanding neural network weights.
Curve Circuits
Reverse engineering the curve detection algorithm from InceptionV1 and reimplementing it from scratch.
ELEDIA E-AIR
IEEE T-AP Special Issue on “Artificial Intelligence: New Frontiers in Real‐Time Inverse Scattering and Electromagnetic Imaging”
How does AI help run enterprises?
Announcement of the 2020 ELEDIA Artificial Intelligence Summer Hackathon Awards
Join the 2020 ELEDIA ARTIFICIAL INTELLIGENCE SUMMER HACKATHON
Saving Bambi through AI: Wildlife Crossing Monitoring and Prediction for Road Safety
E-AIR and Divination: the Quest for Predictive Maintenance in Industry 4.0
ELEDIA Precision Farming: how AI supports Farmers and saves Water
E-AIR Suite can learn your wireless signature and “see” you
Unveiling the E-AIR Blog
Linear Digressions
So long, and thanks for all the fish
All good things must come to an end, including this podcast. This is the last episode we plan to release, and it doesn’t cover data science—it’s mostly reminiscing, thanking our wo...
A reality check on AI-driven medical assistants
The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. This episode l...
A Data Science Take on Open Policing Data
A few weeks ago, we put out a call for data scientists interested in issues of race and racism, or people studying how those topics can be studied with data science methods, should...
Procella: YouTube's super-system for analytics data storage
This is a re-release of an episode that originally ran in October 2019. If you’re trying to manage a project that serves up analytics data for a few very distinct uses, you’d be w...
The Data Science Open Source Ecosystem
Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are dispropor...
Rock the ROC Curve
This is a re-release of an episode that first ran on January 29, 2017. This week: everybody's favorite WWII-era classifier metric!  But it's not just for winning wars, it's...
Criminology and data science
This episode features Zach Drake, a working data scientist and PhD candidate in the Criminology, Law and Society program at George Mason University. Zach specializes in bringing da...
Racism, the criminal justice system, and data science
As protests sweep across the United States in the wake of the killing of George Floyd by a Minneapolis police officer, we take a moment to dig into one of the ways that data scienc...
An interstitial word from Ben
A message from Ben around algorithmic bias, and how our models are sometimes reflections of ourselves.
Convolutional neural networks
This is a re-release of an episode that originally aired on April 1, 2018 If you've done image recognition or computer vision tasks with a neural network, you've probably used a...
fast.ai NLP
Efficient multi-lingual language model fine-tuning
Introducing state of the art text classification with universal language models
colah's blog
Collaboration and Credit Principles
Visual Information Theory
Neural Networks, Types, and Functional Programming
Calculus on Computational Graphs: Backpropagation
Understanding LSTM Networks
Visualizing Representations: Deep Learning and Human Beings
Stories by Andrej Karpathy on Medium
Software 2.0
I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you ca...
AlphaGo, in context
Update Oct 18, 2017: AlphaGo Zero was announced. This post refers to the previous version. 95% of it still applies. I had a chance to talk to several people about the recent AlphaG...
ICML accepted papers institution stats
The accepted papers at ICML have been published. ICML is a top Machine Learning conference, and one of the most relevant to Deep Learning, although NIPS has a longer DL tradition a...
A Peek at Trends in Machine Learning
Have you looked at Google Trends? It’s pretty cool — you enter some keywords and see how Google Searches of that term vary through time. I thought — hey, I happen to have this arxi...
ICLR 2017 vs arxiv-sanity
I thought it would be fun to cross-reference the ICLR 2017 (a popular Deep Learning conference) decisions (which fall into 4 categories: oral, poster, workshop, reject) with the nu...
Virtual Reality: still not quite there, again.
The first time I tried out Virtual Reality was a while ago — somewhere in the late 1990's. I was quite young so my memory is a bit hazy, but I remember a research-lab-like room ful...
Yes you should understand backprop
When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations involved in backpropagation on the ...
CS183c Assignment #3
The last few weeks we heard from several excellent guests, including Selina Tobaccowala from Survey Monkey, Patrick Collison from Stripe, Nirav Tolia from Nextdoor, Shishir Mehrotr...