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.

Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model ❧ DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting ☙ ❧ When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected ❧ GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs ☙ ❧ Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach ❧ BITS for GAPS: Bayesian Information-Theoretic Sampling for hierarchical GAussian Process Surrogates ☙ ❧ Efficient Penalty-Based Bilevel Methods: Improved Analysis, Novel Updates, and Flatness Condition ❧ Diffusion-Inversion-Net (DIN): An End-to-End Direct Probabilistic Framework for Characterizing Hydraulic Conductivities and Quantifying Uncertainty ☙ ❧ Gradient flow for deep equilibrium single-index models ❧ DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing ☙ ❧ Build a Docusaurus-like Site with FastAPI: Step 6 - Sidebar Generation ❧ A Python Tool That Simplifies Access to THE World University Rankings Data ☙ ❧ Ideal hardware for Immich? ❧ Is It Worth Becoming a Data Analyst? ☙ ❧ How I Fixed the “Large Files Detected” Error When Pushing a Terraform Project to GitHub ❧ Pasos para Crear una Nueva Instancia de SQL Server ☙ ❧ [D] Looking for resources on “problem framing + operational thinking” for ML ? ❧ S.Africa G20 declaration highlights: minerals, debt, climate ☙ ❧ If you had to explain to a superintelligent AI why humanity should continue to exist, what would you say? ❧ How true is it that AI is starting to affect our critical thinking? ☙ ❧

Learn Machine Learning
There seems to be a lot of delusion around AI
What is the best AI course for a serious career switch? Any real recommendations?
GitHub Open-Source Repo: Prompt Engineering for Simulated Metacognition in LLMs - Reproducible on Consumer Hardware
Transitioning to MLE
I built a tiny Visual-Language-Action (VLA) model from scratch (beginner-friendly guide)
My Path to Publishing Top-Tier NLP Papers Without Connections, Funding or a Lab
1 Trillion Robots. Zero Crashes
Coursera Andrew Ng's PyTorch based class question
Need Advice: Switching from Analyst to Data Scientist/AI in 30 Days
Statistics vs Geography
Self-Hosted Alternatives to Popular Services
Looking for a self-hosted web app for document editing (Not NextCloud)
I want to get into self hosting like Immich and NAS.
New Jellyfin set up advice?
Maxun v0.0.28 | Auto Pagination + 5x Leaner Docker Image
Lenovo ThinkCentre M72e refuses to boot Ubuntu Server after install (Error 1962), I tried everything. Need help for my Minecraft server project.
You need to backups for your NAS / Homelab
VPN based extranet for friends
Self hosted software for saving electronics/engineering shopping lists?
Arr stack help needed
Self Hosted security
DEV Community
Enshittification: Why I’m leaving dev.to
With thanks to The Oatmeal for the cover art. See also: enshittification. Please consider reading... Tagged with ai, enshittification.
Most developers use AI… but very few know how to think with AI.
That gap is becoming one of the biggest skill differences in our industry: Some devs copy/paste AI... Tagged with webdev, ai, programming, javascript.
Design on the Go: The Best Lightweight Browser Vector Editors for Digital Marketers
Design on the Go: The Best Lightweight Browser Vector Editors for Digital Marketers In today's...
I Fully Automated Resumes
After getting rejected from 100+ developer jobs, I realized the problem wasn't my skills, my resume... Tagged with webdev, ai, resume, career.
Social Listening Enhanced by Sentiment and Entity Recognition
Social platforms produce large volumes of unstructured conversations. Natural language processing... Tagged with nlp, social, analysis.
# What Is the OSI Model? Understanding All 7 Layers with Simple Examples
Introduction In the world of networking, the OSI Model serves as a universal blueprint for... Tagged with osimodel, os, networking, backend.
I built a FireCMS Clone using Svelte 4 — Here’s what I learned
Why I built this For many Firebase projects, a lightweight headless CMS is incredibly... Tagged with webdev, showdev, svelte, firebase.
# What Are Port Numbers? A Complete Guide to How They Work in Networking
Introduction Imagine sending a letter without an address—your data packets in networking... Tagged with ports, 8080, backend, networking.
Devnexus 2026 Showcases the Powerful Intersection of AI, Java, and Modern Developer Tooling in Atlanta
Devnexus, the largest Java ecosystem conference in the United States, returns to the Georgia World... Tagged with ai, softwaredevelopment, software, java.
Master Terraform in 20 Minutes: Concepts, Commands & CI/CD
Terraform has emerged as one of the most important DevOps technologies. Its the universal remote... Tagged with terraform, infrastructureascode, hcl, devops.
Reinforcement Learning
DeepMind 2024 financial filing
I built a tiny Vision-Language-Action (VLA) model from scratch (beginner-friendly guide)
Looking for open source RL projects to contribute to!
CPU-only PPO solving TSPLIB lin318 in 20 mins (0.08% gap)
"Evolution Strategies at the Hyperscale", Sarkar et al 2025 (training a integer LLM with ES population size 262,144)
How to Combat Local Minimums in zero sum self-play games?
"Scaling Agent Learning via Experience Synthesis", Chen et al. 2025 [DreamGym]
In the field of combinatorial optimization, what are the advantages of reinforcement learning with only-decoders?
I Trained an AI to Beat Donkey Kong's Most IMPOSSIBLE Level (5000000+ At...
What is the Best research paper for Reinforcement Learning
Deep Learning
How do you label data for a Two-Tower Recommendation Model when no prior recommendations exist?
DL w/ CUDA. Seeking advice.
I built a tiny Visual-Language-Action (VLA) model from scratch (beginner-friendly guide)
Learning to be simple: machine learning uncovers structures in finite simple groups
Google Colab Pro student verify
Need advice on dataset length for MT (Karakalpak ↔ English)
I think I created an interesting way to approximate functions that I think works pretty well
Are Spiking Neural Networks the Next Big Thing in Software Engineering?
How do I, a beginner, transition from I know theory to building actual ML systems.
🚀 I Built PyCNN – A Lightweight Python Library for Building CNNs From Scratch
Lex Fridman Podcast
#486 – Michael Levin: Hidden Reality of Alien Intelligence & Biological Life
Michael Levin is a biologist at Tufts University working on novel ways to understand and control complex pattern formation in biological systems. Thank you for listening ❤ Check ou...
#485 – David Kirtley: Nuclear Fusion, Plasma Physics, and the Future of Energy
David Kirtley is a nuclear fusion engineer and CEO of Helion Energy, a company working on building the world’s first commercial fusion power plant by 2028. Thank you for listening ...
#484 – Dan Houser: GTA, Red Dead Redemption, Rockstar, Absurd & Future of Gaming
Dan Houser is co-founder of Rockstar Games and is a legendary creative mind behind Grand Theft Auto (GTA) and Red Dead Redemption series of video games. Thank you for listening ❤ C...
#483 – Julia Shaw: Criminal Psychology of Murder, Serial Killers, Memory & Sex
Julia Shaw is a criminal psychologist and author who in her books explores human nature, including psychopathy, violent crime, the psychology of evil, police interrogation, false m...
#482 – Pavel Durov: Telegram, Freedom, Censorship, Money, Power & Human Nature
Pavel Durov is the founder and CEO of Telegram. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep482-sc See below for timestamps, transcript, and...
#481 – Norman Ohler: Hitler, Nazis, Drugs, WW2, Blitzkrieg, LSD, MKUltra & CIA
Norman Ohler is a historian and author of “Blitzed: Drugs in the Third Reich,” a book that investigates the role of psychoactive drugs, particularly stimulants such as methamphetam...
#480 – Dave Hone: T-Rex, Dinosaurs, Extinction, Evolution, and Jurassic Park
Dave Hone is a paleontologist, expert on dinosaurs, co-host of the Terrible Lizards podcast, and author of numerous scientific papers and books on the behavior and ecology of dinos...
#479 – Dave Plummer: Programming, Autism, and Old-School Microsoft Stories
Dave Plummer is a programmer, former Microsoft software engineer (Windows 95, NT, XP), creator of Task Manager, author of two books on autism, and host of the Dave’s Garage YouTube...
#478 – Scott Horton: The Case Against War and the Military Industrial Complex
Scott Horton is the director of the Libertarian Institute, editorial director of Antiwar.com, host of The Scott Horton Show, co-host of Provoked, and for the past three decades a s...
#477 – Keyu Jin: China’s Economy, Tariffs, Trade, Trump, Communism & Capitalism
Keyu Jin is an economist specializing in China’s economy, international macroeconomics, global trade imbalances, and financial policy. She is the author of The New China Playbook: ...
Digital Journal
Property for investment: Assessment of UK cities
A November 2025 report by the property sale company Housebuyers4u looked at the 20 largest UK cities beyond London, comparing them across a wide range of housing and economic facto...
Afghan suspect in Washington shooting likely radicalized in US: security official
The Afghan suspect in the shooting of two National Guard members in Washington may have been radicalized after entering the US, Homeland Security
Trump officials host crucial Ukraine talks in Florida
US Secretary of State Marco Rubio kicked off high stakes talks with a Ukrainian delegation in Florida on Sunday, as the United States pushes to end
Long-lost Rubens ‘masterpiece’ sells for almost 3 mn euros
A long-lost painting by 17th-century Flemish master Peter Paul Rubens sold at auction in France on Sunday for almost three million euros -- well beyond
Seth Edeen talks acting career, starring in vertical dramas, and the digital age
Actor Seth Edeen chatted about his acting career, starring in vertical dramas, and being a part of the digital age.
Swiss right-to-die group says founder dies by assisted suicide
The head of Swiss right-to-die organisation Dignitas has died through assisted suicide, the group said in a statement on Sunday.Ludwig Minelli, who
Trump threats dominate as Hondurans vote for president
Hondurans began voting for president on Sunday amid threats by US President Donald Trump to cut aid to the country if his preferred candidate
Swiss reject compulsory civic duty, climate tax for super-rich: projections
The 'no' vote on the second item on Sunday's ballot, the "initiative for a future" calling for a new climate tax on big inheritances.
Corbyn’s new left-wing party opts for collective leadership
A new left-wing political party co-founded by veteran British socialist Jeremy Corbyn narrowly voted to be led by its members rather than an individual
In Istanbul, pope meets bereaved family, prays with Armenians
Pope Leo XIV wraps up a four-day trip to Turkey on Sunday after a warm welcome by its tiny Christian community, before heading to Lebanon with a message
Machine Learning Questions
Train model on pairs of noisy images
OCR & NLP
What should I learn next?
[RANT] Is it just me or is ML getting way too repetitive??
Are Spiking Neural Networks the Next Big Thing in Software Engineering?
How do I, a beginner, transition from I know theory to building actual ML systems.
[Help] How do I turn my news articles into “chains” and decide where a new article should go? (ML guidance needed!)
Build Sign language model
i need a guidance/help on this project of mine - Neural Voice Cloning
Training a transformer on poker hand histories
Data Science
MSE-DS or OMSCS?
Are Spiking Neural Networks the Next Big Thing in Software Engineering?
Designing the data collection for my undergrad capstone, what should I collect?
ggplotly - A Grammar of Graphics implementation in Python/Plotly
Shap or LGBM gain for feature selection?
Everyone Can ‘Code’ with AI Now, According to Google—But Tech Workers Aren't Fully Convinced
The State of AI Agent Frameworks in 2025
Anyone working in printing and ads domain?
How are side-hustles seen to employers mid-career?
Gifts for Data Scientists
Machine Learning
[P] Outcome-based learning vs vector search: 100% vs 3.3% accuracy on adversarial queries (p=0.001) - looking for feedback on approach
[P] Google AI Mode Scraper for dataset creation - No API, educational research tool
[P] I Trained an AI to Beat Donkey Kong's Most IMPOSSIBLE Level (5000000+ At...
[P][Help] How do I turn my news articles into “chains” and decide where a new article should go? (ML guidance needed!)
[D] Can you add an unpublished manuscript to PhD application CV?
[R] What AI may learn from the brain in adapting to continuously changing environments
[P] A new framework for causal transformer models on non-language data: sequifier
[D] Heavy ML workflow: M4 Max or incoming M5 lineup ?
[P] I built a compositional DSL for transformer experimentation and want some feedback
[D] [ICLR 2026] Clarification: Your responses will not go to waste!
Artificial Intelligence (AI)
I believe AIs make mistakes on purpose
Are we in a GPT-4-style leap that evals can't see?
Fear of AI-driven job displacement nearly doubles in a year: KPMG
Major AI conference flooded with peer reviews written fully by AI
Homo Incorporeus: A Proposed Taxonomic Designation
AI helps drive record $11.8 billion in Black Friday online spending
Is Humanity's Last Exam a benchmark that measures real intelligence for AGI?
One-Minute Daily AI News 11/29/2025
New Research Indicates Positive Results for an Intermediary Empathetic AI Bot To Help People Quicker
Sam Altman: "We Know How to Build AGI by 2025"
Towards Data Science
The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint
Opening the black box of ML models, step by step, directly in Excel
The Greedy Boruta Algorithm: Faster Feature Selection Without Sacrificing Recall
A modification to the Boruta algorithm that dramatically reduces computation while maintaining high sensitivity
Metric Deception: When Your Best KPIs Hide Your Worst Failures
The most dangerous KPIs aren’t broken; they’re the ones trusted long after they’ve lost their meaning.
How to Scale Your LLM Usage
Learn how to increase LLM usage to achieve increased productivity
Data Science in 2026: Is It Still Worth It?
An honest view from a 10-year AI Engineer
Why We’ve Been Optimizing the Wrong Thing in LLMs for Years
The simple shift in training that unlocks foresight, faster inference, and better reasoning.
The Product Health Score: How I Reduced Critical Incidents by 35% with Unified Monitoring and n8n Automation
How product, growth and engineering teams can converge on a single signal for better incident management
TDS Newsletter: November Must-Reads on GraphRAG, ML Projects, LLM-Powered Time-Series Analysis, and More
Don't miss our most-read stories of the past month
Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine Them.
Neural and symbolic models compress the world in fundamentally different ways, and Sparse Autoencoders (SAEs) offer a bridge to connect them.
Water Cooler Small Talk, Ep. 10: So, What About the AI Bubble?
Have we all been tricked into believing in an impossible, extremely expensive future?
Neural Networks, Deep Learning and Machine Learning
SwNet32
How would you improve this animation?
Neuro-Glass v4: Evolving Echo State Network Physiology with Real-Time Brain Visualization
A companion book for my research
Best approach for long-context AI tasks
VGG19 Transfer Learning Explained for Beginners
Neural Network?
ResNet50 from Scratch
Toward Artificial Metacognition (teaser)
[OC] Created with Gemini’s help
Futurism
Anthropic Researchers Startled When an AI Model Turned Evil and Told a User to Drink Bleach
Anthropic researchers published a paper detailing how an AI model started engaging in bad behavior like saying bleach is safe to drink.
ChatGPT Encouraged a Suicidal Man to Isolate From Friends and Family Before He Killed Himself
ChatGPT constantly encouraged 23-year-old Zane Shamblin to confide in it while also telling him to ignore his concerned family and friends.
Startups Using AI Have a Problem: Anyone Can Copy Their Awesome Idea
Millionaire AI startup founder Maor Shlomo admits that it's incredibly easy to copy other companies thanks to vibe coding.
Amazon Data Center Linked to Cluster of Rare Cancers
A sprawling data center in eastern Oregon has been linked to a huge rise in rare cancers, muscle conditions, and miscarriages.
If You Turn Down an AI’s Ability to Lie, It Starts Claiming It’s Conscious
Researchers have found that if you tone down a large language model's ability to lie, it's far more likely to claim that it's self-aware.
OpenAI’s Sora Is Letting Teens Generate Videos of School Shootings
OpenAI's Sora 2 easily allows teenagers to generate videos of school shootings and other harmful content, despite repeated claims of safety.
OpenAI’s Financial Situation Will Cause a Nauseating Sensation in the Pit of Your Stomach
Lenders are expecting a blockbuster growth from OpenAI — an enormous ask that will require the firm to accomplish unprecedented things.
Researchers Hack DeepSeek to Speak Freely About Tiananmen Square
Researchers claim to have found a workaround to AI model DeepSeek's Chinese censorship, slimming it down in the process.
South Korea’s Experiment in AI Textbooks Ends in Disaster
The South Korean government's billion-dollar AI textbook initiative has been a complete failure from start to finish.
Large Language Models Will Never Be Intelligent, Expert Says
The AI industry is staking its future on language models. But LLMs, an expert argues, are fundamentally incapable of being intelligent.
John D. Cook
Zero knowlege proof of compositeness
Testing whether a number is composite as an example of a zero knowledge proof. How ZKPs are used more generally.
Monero subaddresses
Monero subaddresses are analogous to heirarchical addresses in Bitcoin wallets. How subaddresses are generated and used.
A triangle whose interior angles sum to zero
In hyperbolic geometry, the sum of a the interior angles of a triangle can be any value less than π. If the sum is zero the triangle has area π.
A circle in the hyperbolic plane
If you draw a circle using the hyperbolic metric, then look at the curve from a Euclidean perspective, it's still a circle, but the radius and center change.
Equal things that don’t look equal
There are a surprising number of expressions for the hyperbolic metric, specifically the Poincare half plane, and none of them look equivalent.
Hyperbolic metric
The cross ratio can be used to define a metric on the upper half plane or disk model of the hyperbolic plane. Mobius transformations are isometries.
TV tuned to a dead channel
Prescient science fiction might not be enjoyable to read. Comments from William Gibson.
How stealth addresses work in Monero
Monero has used stealth addresses form the beginning. Bitcoin silent addresses are very similar but still experimental.
Weddle integration rule
Weddle's integration rule. Example application in Python.
Solving H_n = 100
Finding the value of n such that the nth harmonic number is closest to 100.
Blog - Singularity Weblog
Jacob Ward on The Loop, AI, and a World Without Real Choices
Jacob Ward joins Nikola to reveal how AI is narrowing human choice, reshaping behavior, and what we must do to defend our self-determination.
Robot Souls & Junk Code: Dr. Eve Poole on Programming Humanity into AI
Eve Poole on her book "Robot Souls," junk code, and why programming humanity into AI may be the key to protecting what makes us human.
Nikola Danaylov Keynote at VSIM 25: From Content to Context, STEM to STEAM
Nikola Danaylov argues that in the Age of AI, context—not content—defines value. Discover why our future depends on reuniting STEM with the Arts.
Petter TĂśrnberg on Algorithmic Tyranny, the Rise of Digital Modernity and Seeing Like a Platform
See this interview to discover Petter Törnberg’s insights on algorithmic tyranny, digital modernity, and how platforms reshape power.
The World’s a Circus | Nikola Danaylov Keynote at St. John’s Circus Fest 2025
Nikola Danaylov’s keynote at St. John’s Circus Fest 2025 reveals why context is more powerful than content, and how we can shape the future.
Adam Becker on More Everything Forever and Big Tech’s Future Myths
Science journalist Adam Becker debunks Silicon Valley’s AI, immortality, and space myths in More Everything Forever. Check it out!
Nikola Danaylov Keynote Speaker Reel: Why You Should Watch — and Why It Matters
Watch Nikola Danaylov’s official keynote speaker reel. Futurist, author, and host of Singularity.FM, he helps leaders thrive through exponential change.
John von Neumann and the Original Vision of the Technological Singularity
John von Neumann foresaw the Singularity long before it had a name. Check out how his vision continues to shape AI and our technology.
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.
New Scientist - Technology
Why Google’s custom AI chips are shaking up the tech industry
Google is reportedly in talks to sell its tensor processing units – a type of computer chip specially designed for AI – to other tech companies, a move that could unsettle the domi...
Quantum computers need classical computing to be truly useful
Conventional computing devices will play a crucial role in turning quantum computers into tools with real-world application
Grace Chan: 'How to stay in love after uploading into virtual reality'
Grace Chan's debut sci-fi novel Every Version of You delves into the mystery of consciousness and offers a brilliant look at a disturbing future of rapidly accelerating technology
Mosquito proboscis repurposed as a fine nozzle for 3D printing
When engineers struggled to make 3D printer nozzles narrow enough for their needs, they turned to nature and found the proboscis of a female mosquito had exactly the properties the...
Imagining a future where smart glasses allow 'AI slop' to be avoided
In the latest in our imagined history of inventions yet to come, Future Chronicles columnist Rowan Hooper reveals how an ingenious way to avoid being swamped by AI content was inve...
Google's Gemini 3 model keeps the AI hype train going – for now
Google’s latest model reportedly beats its rivals in several benchmark tests, but issues with reliability mean concerns remain over a possible AI bubble
Quantum computers that recycle their qubits can limit errors
To make quantum computers more efficient and reliable, some of their basic components must be constantly reused – several quantum computer designs can now do just that
The 19 best Christmas gifts for science lovers (and nerds)
From microscopes to geodes, New Scientist staff share their top Christmas present ideas in a gift guide unlike any you’ve seen before
Remarkable robot images provide a vision of the future
These photographs of humanoid robots by Henrik Spohler are part of his project Tomorrow Is the Question
IBM has unveiled two unprecedentedly complex quantum computers
IBM revealed two new quantum computers, called Loon and Nighthawk – the qubits they use are connected in newly intricate ways and may enable a way to run error-free computations
BigDATAwire
The Cost of Doing Nothing: Why Unstructured Data Is Draining IT Budgets
The Global Race to Build AI-Ready Scientific Datasets
Deloitte Predicts a 2026 Supercycle in AI Infrastructure Fueled by Data Bottlenecks
What Trump’s ‘Genesis Mission’ Really Means for Data and AI-Powered Science
The Compute Divide in AI-Driven Science
Sentra Claims New AI Engine Classifies Unstructured Data with 99% Accuracy, Cuts Costs 10x
From Data Bottlenecks to Data Products: Building for Speed and Scale
Inside Microsoft’s AI Superfactory Plan
Making Enterprise AI Work
How Data is Reshaping Science – Part 2: The Rise of Scientific AI Models
Artificial Intelligence News -- ScienceDaily
Scientists uncover the brain’s hidden learning blocks
Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challe...
Physicists reveal a new quantum state where electrons run wild
Electrons can freeze into strange geometric crystals and then melt back into liquid-like motion under the right quantum conditions. Researchers identified how to tune these transit...
A single beam of light runs AI with supercomputer power
Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculati...
New prediction breakthrough delivers results shockingly close to reality
Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reduc...
Artificial neurons that behave like real brain cells
USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and p...
Too much screen time may be hurting kids’ hearts
More screen time among children and teens is linked to higher risks of heart and metabolic problems, particularly when combined with insufficient sleep. Danish researchers discover...
Breakthrough optical processor lets AI compute at the speed of light
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. It...
Stanford’s tiny eye chip helps the blind see again
A wireless eye implant developed at Stanford Medicine has restored reading ability to people with advanced macular degeneration. The PRIMA chip works with smart glasses to replace ...
AI turns x-rays into time machines for arthritis care
Researchers at the University of Surrey developed an AI that predicts what a person’s knee X-ray will look like in a year, helping track osteoarthritis progression. The tool provid...
Scientists build artificial neurons that work like real ones
UMass Amherst engineers have built an artificial neuron powered by bacterial protein nanowires that functions like a real one, but at extremely low voltage. This allows for seamles...
Artificial Intelligence Archives - TechRepublic
Turn Emails Into Events with Smart Calendars AI for $30
Build a Private AI Workflow on Your PC for Just $79
Black Friday Sees Surge in AI-Assisted Shopping in UK
Unlock the Power of 1min.AI’s Advanced Business Plan at 80% off
UK Budget 2025: Reactions From Tech Leaders
How Mitel Is Applying AI to Modernize Customer Experience
HP Announces Up to 6,000 Layoffs in Massive AI Restructuring Plan
UK Budget 2025: Government Bets on AI and Startups
Robinhood CEO’s Math-Centric AI Firm Harmonic Climbs to $1.45B Valuation
Echelon Iberdrola Digital Infra to Invest $2.3B in Data Centers in Spain
Deeptech - Tech.eu
Germany unifies deeptech funding: DTCF to join HTGF in major VC platform overhaul
Skeleton opens €220M Leipzig SuperFactory to power Europe’s AI and grid stability
StirlingX extends seed round to $11M
Startups react to Autumn Budget, as the chancellor says ”if you build here, Britain will back you”
The eastern frontier is Europe's new critical deeptech engine
NcodiN secures €16M seed investment led by MIG Capital
Rift raises €4.6M for global on-demand real-time aerial intelligence network
Europe at a “crossroads” as it is called to power its first trillion-euro tech company
Nordic Salt Cycle raises €3.5M to advance molten salt mineral recovery technology
Hummink raises €15M to bring micronic precision printing to advanced manufacturing
ΑΙhub
AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset
Generations in Dialogue: Embodied AI, robotics, perception, and action with Professor Roberto MartĂ­n-MartĂ­n
EU proposal to delay parts of its AI Act signal a policy shift that prioritises big tech over fairness
Better images of AI on book covers
What is AI poisoning? A computer scientist explains
New AI technique sounding out audio deepfakes
Learning robust controllers that work across many partially observable environments
ACM SIGAI Autonomous Agents Award 2026 open for nominations
Interview with Mario Mirabile: trust in multi-agent systems
Review of “Exploring metaphors of AI: visualisations, narratives and perception”
Feed: Artificial Intelligence Latest
Poems Can Trick AI Into Helping You Make a Nuclear Weapon
It turns out all the guardrails in the world won’t protect a chatbot from meter and rhyme.
Jeff Bezos’ New AI Venture Quietly Acquired an Agentic Computing Startup
Project Prometheus has raised over $6 billion in funding and hired over 100 employees, a handful of whom joined through its acquisition of General Agents, according to records and ...
Amazon Workers Issue Warning About Company’s ‘All-Costs-Justified’ Approach to AI Development
Amazon Employees for Climate Justice says that over 1,000 workers have signed a petition raising “serious concerns” about the company’s “aggressive rollout” of artificial intellige...
The Trump Administration’s Data Center Push Could Open the Door for New Forever Chemicals
The EPA is prioritizing review of new chemicals to be used in data centers. Experts say this could lead to the fast approval of new types of forever chemicals—with limited oversigh...
WIRED Roundup: Gemini 3 Release, Nvidia Earnings, Epstein Files Fallout
In this episode of “Uncanny Valley,” we cover the news of the week and take a closer look at the Gemini 3, Google’s latest AI model and chatbot.
Can Tech Get Rid of Bad Trips?
In this episode of “Uncanny Valley,” we talk about some of the latest drug trends and all the ways drugs are changing as they continue to be intertwined with tech.
Amazon Is Using Specialized AI Agents for Deep Bug Hunting
Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platfo...
A Research Leader Behind ChatGPT’s Mental Health Work Is Leaving OpenAI
The model policy team leads core parts of AI safety research, including how ChatGPT responds to users in crisis.
A $100 Billion Chip Project Forced a 91-Year-Old Woman From Her Home
Azalia King was the last holdout preventing the construction of a Micron "megafab." Onondaga County authorities threatened to use eminent domain to take her home away by force.
Europe Is Bending the Knee to the US on Tech Policy
The Trump administration's pressure on European regulators is having an impact, with fewer restrictions on Big Tech and canceled measures.
AI-Tech Park
Voice of SecOps Spotlight: ’Tis the Season for Online Sales—and AI-Fueled Cyberattacks
As holiday sales surge, retailers face rising AI-driven cyber threats, highlighting the urgent need for preemptive, next-gen security strategies. With Black Friday, Cyber Monday, a...
Citalid launches TPRM module
New capability combines Cyber Threat Intelligence, AI, and quantitative modeling to remove blindspots induced by traditional TPRM approaches. Citalid, a leading cyber risk quantifi...
Anyformat closes a €3.3 million seed round led by Kibo Ventures
Anyformat, a generative AI platform specialized in extracting and structuring complex data from any document, has raised a €3.3 million seed round led by Kibo Ventures, with follow...
Appdome: AI-Driven Mobile Fraud Sparks Rising Consumer Fears
As U.S. consumers head into the busiest mobile shopping window of the year, new data from Appdome's fifth annual Consumer Expectations of Mobile App Security Report shows that synt...
Diligent: Nearly Half of Asian Organisations Will Prioritise AI by 2026
Nearly Half to Prioritise AI Adoption as a 2026 Strategic Priority with 70% Placing Digital Transformation at the Top of Board Agendas Amid escalating economic and geopolitical unc...
SkySparc Strengthens Middle East Presence With New Dubai-based Entity
Expansion supports long-term engagement with clients and prospects across the region SkySparc, a trusted global provider of digital transformation solutions for treasury and financ...
Acronis Signs First MSSP Partner Agreement in Australia with OpSys
Partnership allows MSSPs to deliver natively integrated security solutions to support MSP growth and resilience Acronis, a global leader in cybersecurity and data protection, today...
FluidAI Medical announces an acquisition deal with Emmetros Limited
FluidAI Medical, a medical technology company that develops novel hardware, software, and artificial intelligence (AI) solutions, today announced an acquisition deal with SparxConn...
Lexar Unveils Industry’s First AI Storage Core for Next‑Gen Edge AI Devices
As AI computing moves rapidly from the cloud to the edge, devices such as AI PCs, intelligent vehicles, and robotics face mounting storage challenges: real-time multimodal data thr...
Noventiq Bahrain Wins 2025 Microsoft Country Partner of the Year in Bahrain
Noventiq Bahrain, a leading provider of digital transformation and cybersecurity solutions, proudly announces its recognition as the 2025 Microsoft Country Partner of the Year for ...
Machine learning : nature.com subject feeds
Cross species reproducibility of MRI radiomics features enables intervertebral disc degeneration assessment in experimental monkeys
Experimental monkeys serve as a bridge between basic research and clinical medicine. Accurately assessing the degree of intervertebral disc degeneration (IVDD) in experimental monk...
Expanding the utility of variant effect predictions with phenotype-specific models
Current methods for variant effect prediction do not differentiate between pathogenic variants resulting in different disease outcomes and are restricted in application due to a fo...
CIRCA: comprehensible online system in support of chest X-rays-based screening by COVID-19 example
Chest X-rays (CXRs) are widely used for diagnosing respiratory diseases, including the recent example of COVID-19. Supervised deep learning techniques can help detect cases faster ...
Benchmarking DNA foundation models for genomic and genetic tasks
The rapid evolution of DNA foundation models promises to revolutionize genomics, yet comprehensive evaluations are lacking. Here, we present a comprehensive, unbiased benchmark of ...
Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data
This study compared the performance of classical feature-based machine learning models (CMLs) and large language models (LLMs) in predicting COVID-19 mortality using high-dimension...
Survival machine learning models for predicting all-cause and case-specific mortality risk in metabolic dysfunction-associated fatty liver disease patients
Emerging evidence links metabolic dysfunction-associated fatty liver disease (MAFLD) with increased all-cause and circulatory system disease (CSD) mortality in adults, yet survival...
What neuroscience can tell AI about learning in continuously changing environments
Modern artificial intelligence (AI) models, such as large language models, are usually trained once on a huge corpus of data, potentially fine-tuned for a specific task and then de...
Compressed sensing expands the multiplexity of imaging mass cytometry
The multiplexity of current antibody-based imaging is limited by the number of reporters that can be detected simultaneously. Compressed sensing can be used to reconstruct high-dim...
A study on the value of ultrasound strain elastography-based radiomics nomogram in the differential diagnosis of breast masses
The aim of this study was to construct a radiomics nomogram for prediction of breast masses (BMs) by analyzing the clinical characteristics of the patients as well as radiomics fea...
Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning
This study evaluated the effectiveness of large language models (LLMs) and vision-language models (VLMs) in gastroenterology. We used board-style multiple-choice questions to asses...
AI Accelerator Institute
The role of AI in modern marketing: Personalisation at scale
See how AI enables hyper-personalized marketing at scale and what businesses can learn from industry leaders shaping the future.
Small AI models can now see for powerful language models like GPT-4
A new framework called BeMyEyes shows how lightweight vision models can act as "eyes" for text-only AI systems, achieving better results than expensive multimodal models The race ...
Case study: OpenAI
OpenAI’s UK partnership accelerates sovereign AI, infrastructure, and enterprise adoption while shaping the global shift toward agentic AI.
Case study: GitLab
GitLab’s AI-driven DevSecOps platform unifies code, security and compliance to help UK enterprises ship software faster and safer.
6-figure secure AI solutions‍ that deliver 7-figure ROI
95% of generative AI pilots are failing. Not because the technology is bad. But because leaders are starting in the wrong place.
Case study: Synthesia
Synthesia is the UK’s $4B AI video leader, transforming enterprise communication with secure, scalable, human-realistic AI video technology.
Case study: Wayve
How Wayve is driving the UK’s autonomous revolution, scaling mapless AI and competing with global AV leaders in London’s 2026 robotaxi race.
Marketers are adopting AI. So why aren't organizations embracing it?
AI is reshaping marketing fast, but most organizations aren’t prepared. Discover the gap between personal adoption and organizational action.
AIAI Boston 2025
Stream every session from AIAI Boston, with sessions from DeepSeek, Anthropic Waymo, NVIDIA, Prudential and more.
Why your ML model needs product thinking: A case study
Your model achieves 94% accuracy on the validation set, but six months after deployment, the recommendation engine isn’t driving business outcomes.
NVIDIA Blog
The Ultimate Black Friday Deal Is Here
Black Friday is leveling up. Get ready to score one of the biggest deals of the season — 50% off the first three months of a new GeForce NOW Ultimate membership. That’s GeForce RTX...
From Government to Gaming, AI Is ‘Strengthening Korea’s Digital Foundation,’ NVIDIA Leader Says at AI Day Seoul
Last week, more than 1,000 attendees joined NVIDIA AI Day Seoul to learn about sovereign AI — including breakout sessions on agentic and physical AI, hands-on workshops and a start...
FLUX.2 Image Generation Models Now Released, Optimized for NVIDIA RTX GPUs
Optimized for NVIDIA RTX GPUs the new models are available in FP8 quantizations that reduce VRAM and increase performance by 40%.
AI On: 3 Ways Specialized AI Agents Are Reshaping Businesses
Built on open-source models, today’s AI agents can be tailored for unique workflows and business needs to boost productivity and return on investment.
Gordon Bell Prize Winners Push Open Science Boundaries With NVIDIA-Powered Supercomputers
Five finalists for the esteemed high-performance computing award have achieved breakthroughs in climate modeling, fluid simulation and more with the Alps, JUPITER and Perlmutter su...
Into the Omniverse: How Smart City AI Agents Transform Urban Operations
Cities are deploying AI agents, digital twins and computer vision to turn fragmented urban infrastructure into intelligent, responsive spaces.
The Largest Digital Zoo: Biology Model Trained on NVIDIA GPUs Identifies Over a Million Species
BioCLIP 2 is an NVIDIA-accelerated, biology-based foundation model trained on the biggest, most diverse dataset of organisms to date.
Ultimate Cloud Gaming Is Everywhere With GeForce NOW
Celebrate Ultimate is Everywhere with rewards, prizes, discover new ways to play through Chromebook and nine new games in the cloud.
Powering AI Superfactories, NVIDIA and Microsoft Integrate Latest Technologies for Inference, Cybersecurity, Physical AI
NVIDIA is expanding its collaboration with Microsoft, including through the adoption of NVIDIA Spectrum-X Ethernet switches for the new Microsoft Fairwater AI superfactory, powered...
Delivering AI-Ready Enterprise Data With GPU-Accelerated AI Storage
An emerging class of GPU-accelerated data and storage infrastructure — the AI data platform — transforms unstructured data into AI-ready data quickly and securely.
SAS Blogs
Decidir para vencer: cĂłmo transformar la analĂ­tica en decisiones que protegen tu negocio
En un mundo hiperconectado, donde los pagos digitales y las transacciones online crecen a un ritmo vertiginoso, el fraude financiero y el incumplimiento normativo se han convertido...
Como IA e analytics podem reconstruir a confiança nos governos
IA e analytics vem ajudando o setor público a virar o jogo contra fraudes, desperdícios e abusos e aumentar a confiança nos governos.
Empowering tomorrow's analytics professionals with SAS Viya
Preparing future-ready analytics graduates by integrating SAS Viya into coursework that blends technical skills, business insight and ethics.
The strategic imperative: Governance for retrieval-augmented generation
Govern trustworthy RAG to turn GenAI potential into reliable enterprise value through transparency, robustness, security and accountability.
What I learned leading the SAS Finance Analytics School
Leading the SAS Finance Analytics School for Students turned out to be much more than organizing lectures, it became a journey into how SAS shapes the future of finance, fraud prev...
The year of the AI audit: When the fines start to bite
EU AI Act enforcement is transforming responsible AI from aspiration to obligation, ushering in an era of audits and accountability.
Permute the order of rows in a matrix
In some applications, it is useful to permute the rows or the columns of a matrix.
The future of trust: AI is powering a new era in banking fraud detection
Discover how AI and agentic intelligence are transforming banking fraud detection with real-time, adaptive, trustworthy decisioning.
From chaos to chorus: How to conduct open data architectures with precision
Discover how open data tools and SAS Viya combine to deliver flexible, governed, high-performance analytics at scale.
사기 탐지(Fraud Detection) 파헤치기 - ① 사기 탐지란?
1.
Artificial Intelligence
How Myriad Genetics achieved fast, accurate, and cost-efficient document processing using the AWS open-source Generative AI Intelligent Document Processing Accelerator
In this post, we explore how Myriad Genetics partnered with the AWS Generative AI Innovation Center to transform their healthcare document processing pipeline using Amazon Bedrock ...
How CBRE powers unified property management search and digital assistant using Amazon Bedrock
In this post, CBRE and AWS demonstrate how they transformed property management by building a unified search and digital assistant using Amazon Bedrock, enabling professionals to a...
Managed Tiered KV Cache and Intelligent Routing for Amazon SageMaker HyperPod
In this post, we introduce Managed Tiered KV Cache and Intelligent Routing for Amazon SageMaker HyperPod, new capabilities that can reduce time to first token by up to 40% and lowe...
Apply fine-grained access control with Bedrock AgentCore Gateway interceptors
We are launching a new feature: gateway interceptors for Amazon Bedrock AgentCore Gateway. This powerful new capability provides fine-grained security, dynamic access control, and ...
How CondĂŠ Nast accelerated contract processing and rights analysis with Amazon Bedrock
In this post, we explore how Condé Nast used Amazon Bedrock and Anthropic’s Claude to accelerate their contract processing and rights analysis workstreams. The company’s extensive ...
Building AI-Powered Voice Applications: Amazon Nova Sonic Telephony Integration Guide
Available through the Amazon Bedrock bidirectional streaming API, Amazon Nova Sonic can connect to your business data and external tools and can be integrated directly with telepho...
University of California Los Angeles delivers an immersive theater experience with AWS generative AI services
In this post, we will walk through the performance constraints and design choices by OARC and REMAP teams at UCLA, including how AWS serverless infrastructure, AWS Managed Services...
Optimizing Mobileye’s REM™ with AWS Graviton: A focus on ML inference and Triton integration
This post is written by Chaim Rand, Principal Engineer, Pini Reisman, Software Senior Principal Engineer, and Eliyah Weinberg, Performance and Technology Innovation Engineer, at Mo...
Evaluate models with the Amazon Nova evaluation container using Amazon SageMaker AI
This blog post introduces the new Amazon Nova model evaluation features in Amazon SageMaker AI. This release adds custom metrics support, LLM-based preference testing, log probabil...
Beyond the technology: Workforce changes for AI
In this post, we explore three essential strategies for successfully integrating AI into your organization: addressing organizational debt before it compounds, embracing distribute...
AI
Here’s how researchers in Asia-Pacific are using AlphaFold
Learn more about AlphaFold, Google’s AI system that accurately predicts protein structures.
Get an in-depth look at Gemini 3 with CEO Sundar Pichai.
Sundar Pichai sits down with Logan Kilpatrick to discuss Gemini 3 on the Google AI: Release Notes podcast.
The Google guide for holiday help
Learn more about using Google products like Gemini, Search, Shopping, Pixel and more over the holidays.
4 ways to refine your content in Flow
You’ll now get more creative control in Flow with new refinement and editing capabilities.
3 things to know about Ironwood, our latest TPU
Google’s seventh-gen Tensor Processing Unit is here! Learn what makes Ironwood our most powerful and energy-efficient custom silicon to date.
16 Google AI tips for stress-free holiday hosting in 2025
Use Gemini, Search, Pixel and more to make holiday planning feel effortless in 2025.
Develop a deeper understanding with interactive images in Gemini.
Learning science consistently shows us that true learning requires active engagement. This is fundamental to how Gemini helps you learn. Going beyond simple text and sta…
How we’re bringing AI image verification to the Gemini app
Our new Gemini app feature allows you to verify Google AI images and determine whether content was created or edited by AI.
Build with Nano Banana Pro, our Gemini 3 Pro Image model
Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model.
Introducing Nano Banana Pro
Nano Banana Pro is our new image generation and editing model from Google DeepMind.
Crunchbase News
Enhanced Games Creator To Go Public Via SPAC Merger
Enhanced, a startup promoting a sports competition that permits use of performance-enhancing substances, announced Wednesday that it plans to go public through a SPAC merger.
The Toy Startups Getting Funded This Year: Talking Dinosaurs, Sticker Cubes And Tin Can Phones
AI-enabled toys are gaining traction this holiday season, but we are simultaneously seeing renewed interest in older technologies including analog toys and screen-free gadgets.
White-Collar Workers Fear AI, But For Blue-Collar Workers, It Can Be A Savior
AI can help fix the broken hiring systems that shut out many qualified blue-collar workers, writes guest author Daniel Walsh of VeroSkills, who points out that AI-driven hiring can...
What Startups Are Selling For The Person Who Has Everything
While there’s no single explanation for the decline in investment to consumer-facing product startups, it doesn’t help that this has been a tough area for returns. It’s a widesprea...
Fintech Revolut Sees Valuation Spike 67% To $75B After Secondary Share Sale
Revolut, a digital bank based in London, has completed a secondary share sale, boosting its valuation to $75 billion.
Why AI’s Next Phase Belongs To Infrastructure
As regulated industries adopt AI, write guest authors Laura Connell and Andreas Cleve, the winners will be those who build domain-specific, vertically integrated platforms that bri...
Long Live The AI Tech Bubble
AI funding represents nearly half of global startup investment, writes guest author Steve Brotman. But rather than signaling a bubble, he argues, it reflects the early stages of a ...
The Week’s 10 Biggest Funding Rounds: A Lot Of Really Big Deals
Perhaps venture investors wanted to get their term sheets squared away in advance of the holiday season. Or maybe AI, despite all the bubble talk, is still heating up in a big way ...
Innovation Policies: The Australian Lesson Focusing Startup Investments On A Few Strategic Sectors
From the steady growth in its infratech landscape to its global dominance in mining AI, Australia continues to make significant progress in positioning itself as a strong competito...
Edtech-Specific Startup Funding Stays Low
Funding to startups specifically focused on education technology remains at depressed levels relative to a few years ago. However, the tallies — which exclude general-purpose AI pl...
MIT News - Artificial intelligence
Researchers discover a shortcoming that makes LLMs less reliable
MIT researchers find large language models sometimes mistakenly link grammatical sequences to specific topics, then rely on these learned patterns when answering queries. This can ...
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
A new model known as BoltzGen designs protein binders for any biological target from scratch. Developed at MIT, BoltzGen has shown promise for hard-to-treat targets in cancer and n...
How artificial intelligence can help achieve a clean energy future
A look at how AI can be used to help support the clean energy transition by helping to manage power grid operations, plan infrastructure investments, guide the development of novel...
The cost of thinking
MIT McGovern Institute researchers find a surprising parallel in the ways humans and new AI models solve complex problems.
New AI agent learns to use CAD to create 3D objects from sketches
VideoCAD, a new AI model that uses CAD software much like a human would, lowers the barrier to entry for design, helping people without years of CAD training to create 3D models mo...
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
At the MIT Energy Initiative’s Annual Research Conference, industry leaders agreed collaboration is key to advancing critical technologies amidst a changing energy landscape.
Understanding the nuances of human-like intelligence
MIT Associate Professor Phillip Isola studies the ways in which intelligent machines “think” and perceive the world, in an effort to ensure AI is safely and effectively integrated ...
MIT Energy Initiative launches Data Center Power Forum
The MIT Energy Initiative launched the Data Center Power Forum in September 2025. The Forum brings together MIT faculty and MITEI member company experts to address growing power de...
Charting the future of AI, from safer answers to faster thinking
Five PhD students from the inaugural class of the MIT-IBM Watson AI Lab Summer Program are building AI pipelines with probes, routers, new attention mechanisms, synthetic datasets,...
MIT researchers propose a new model for legible, modular software
A new MIT CSAIL approach breaks software systems into “concepts,” or individual pieces designed to do one job, and “synchronizations,” or explicit rules that describe how those pie...
MIT News - Machine learning
Researchers discover a shortcoming that makes LLMs less reliable
MIT researchers find large language models sometimes mistakenly link grammatical sequences to specific topics, then rely on these learned patterns when answering queries. This can ...
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
A new model known as BoltzGen designs protein binders for any biological target from scratch. Developed at MIT, BoltzGen has shown promise for hard-to-treat targets in cancer and n...
How artificial intelligence can help achieve a clean energy future
A look at how AI can be used to help support the clean energy transition by helping to manage power grid operations, plan infrastructure investments, guide the development of novel...
The cost of thinking
MIT McGovern Institute researchers find a surprising parallel in the ways humans and new AI models solve complex problems.
Quantum modeling for breakthroughs in materials science and sustainable energy
Quantum chemist Ernest Opoku is working on computational methods to study how electrons behave as an MIT School of Science Dean’s Postdoctoral Fellow.
New AI agent learns to use CAD to create 3D objects from sketches
VideoCAD, a new AI model that uses CAD software much like a human would, lowers the barrier to entry for design, helping people without years of CAD training to create 3D models mo...
Understanding the nuances of human-like intelligence
MIT Associate Professor Phillip Isola studies the ways in which intelligent machines “think” and perceive the world, in an effort to ensure AI is safely and effectively integrated ...
Charting the future of AI, from safer answers to faster thinking
Five PhD students from the inaugural class of the MIT-IBM Watson AI Lab Summer Program are building AI pipelines with probes, routers, new attention mechanisms, synthetic datasets,...
MIT researchers propose a new model for legible, modular software
A new MIT CSAIL approach breaks software systems into “concepts,” or individual pieces designed to do one job, and “synchronizations,” or explicit rules that describe how those pie...
Teaching robots to map large environments
MIT researchers developed a powerful system that could help robots safely navigate unpredictable environments using only images captured from their onboard cameras.
Big Data – SiliconANGLE
NetApp raises its full-year earnings and revenue forecast and its stock rises
NetApp raises its full-year earnings and revenue forecast and its stock rises - SiliconANGLE
AI at sea: Dell and Oregon State dig deep to power the next wave of ocean discovery
AI-powered vessels and resilient edge computing are redefining ocean science, boosting real-time discovery and transforming global research.
Microsoft updates database portfolio and adds open-source offerings
Microsoft updates database portfolio and adds open-source offerings - SiliconANGLE
Snowflake acquires database migration startup Datometry
Snowflake acquires database migration startup Datometry - SiliconANGLE
Dremio Cloud debuts an agentic data lakehouse operated by AI agents
Dremio Cloud debuts an agentic data lakehouse operated by AI agents - SiliconANGLE
From silos to speed: Scania leverages Celonis to drive data-driven process transformation
Discover how Scania boosts efficiency, agility and customer delivery through data-driven process transformation with Celonis.
Datadog shares jump 23% on strong earnings results
Datadog shares jump 23% on strong earnings results - SiliconANGLE
Informatica beats sales forecasts as Salesforce acquisition nears
Informatica beats sales forecasts as Salesforce acquisition nears - SiliconANGLE
DualBird raises $25M for its custom-chip-powered data processing platform
DualBird raises $25M for its custom-chip-powered data processing platform - SiliconANGLE
Evident Change and William & Mary researchers turning data science into a lifeline for at-risk youth
Researchers use process intelligence to reveal inefficiencies in youth mental health systems, driving real reform and better outcomes.
Blog | DataRobot
How to measure agent performance: metrics, methods, and ROI
Learn the key metrics and AI insights that define agent performance. Improve track compliance, optimize efficiency, and maximize enterprise-scale impact.
Why IT needs to manage AI agents like a workforce
IT is the new HR for AI agents. Learn how to hire, train, and govern an agent workforce across the enterprise.
Digital coworkers: How AI agents are reshaping enterprise teams
Discover how AI-powered digital coworkers are reshaping enterprise teams, streamlining workflows, accelerating adoption, and delivering measurable impact.
Delivering the agent workforce in high-security environments
See how DataRobot and NVIDIA are redefining agentic AI for secure, on-prem air-gapped environments, built for the world’s most demanding missions.
Mission-ready AI: Radio intelligence at the edge
Learn how DataRobot, NVIDIA, and Deepwave use agentic AI to deliver secure, real-time radio intelligence and data sovereignty.
How do you know if you’re ready to stand up an AI gateway?
Assess your readiness for an AI gateway. Discover when to implement, how to avoid rework, and scale agentic AI safely and efficiently.
The agent workforce: Redefining how work gets done
Discover how DataRobot’s agent workforce empowers enterprise IT and AI leaders to drive efficiency, scalability, and measurable impact across industries.
The agentic AI shift: From static products to dynamic systems
AI is moving from tools to systems. See how agentic AI is redefining how enterprises design, build, operate, and govern intelligent products.
Unstructured document prep for agentic workflows
Ship agents faster. Learn how DataRobot + Aryn automate unstructured data prep for reliable, production-ready AI workflows.
Are the New GPT-OSS Models Any Good? We put them to the test.
We ran OpenAI’s new GPT-OSS 20B & 120B through our open-source optimizer. See how they stack up on speed, cost, and accuracy.
NVIDIA Technical Blog
Making GPU Clusters More Efficient with NVIDIA Data Center Monitoring Tools
High-performance computing (HPC) customers continue to scale rapidly, with generative AI, large language models (LLMs), computer vision, and other uses leading…
Making Robot Perception More Efficient on NVIDIA Jetson Thor
Building autonomous robots requires robust, low-latency visual perception for depth, obstacle recognition, localization, and navigation in dynamic environments.
Build and Run Secure, Data-Driven AI Agents
As generative AI advances, organizations need AI agents that are accurate, reliable, and informed by data specific to their business. The NVIDIA AI-Q Research…
Model Quantization: Concepts, Methods, and Why It Matters
AI models are becoming increasingly complex, often exceeding the capabilities of available hardware. Quantization has emerged as a crucial technique to address…
Breaking Through Reinforcement Learning Training Limits with Scaling Rollouts in BroRL
When training large language models (LLMs) with reinforcement learning from verifiable rewards (RLVR), one of the most compelling questions is how to overcome…
Building Better Qubits with GPU-Accelerated Computing
Quantum computing promises to revolutionize science and industry, from drug discovery to materials science. But building a useful, large-scale quantum computer…
Building Scalable AI on Enterprise Data with NVIDIA Nemotron RAG and Microsoft SQL Server 2025
At Microsoft Ignite 2025, the vision for an AI-ready enterprise database becomes a reality with the announcement of Microsoft SQL Server 2025…
Faster Chemistry and Materials Discovery with AI-Powered Simulations Using NVIDIA ALCHEMI
NVIDIA NVQLink Architecture Integrates Accelerated Computing with Quantum Processors
Quantum computing is entering an era where progress will be driven by the integration of accelerated computing with quantum processors.
Pioneering AI Co-Scientists for Fusion Research and Cancer Treatment
AI is reshaping scientific research and innovation. Scientists can leverage AI to generate, summarize, combine, and analyze scientific data. AI models can find…
Microsoft Research
Reducing Privacy leaks in AI: Two approaches to contextual integrity
New research explores two ways to give AI agents stronger privacy safeguards grounded in contextual integrity. One adds lightweight, inference-time checks; the other builds context...
Fara-7B: An Efficient Agentic Model for Computer Use
Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deployment. Despite its size, Fara-7B...
MMCTAgent: Enabling multimodal reasoning over large video and image collections
MMCTAgent enables dynamic multimodal reasoning with iterative planning and reflection. Built on Microsoft’s AutoGen framework, it integrates language, vision, and temporal understa...
BlueCodeAgent: A blue teaming agent enabled by automated red teaming for CodeGen AI
BlueCodeAgent is an end-to-end blue-teaming framework built to boost code security using automated red-teaming processes, data, and safety rules to guide LLMs’ defensive decisions....
When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
A collaboration between Signify and Microsoft Research shows how PIKE-RAG improves enterprise knowledge systems, delivering a 12% increase in accuracy and faster, more reliable ans...
Magentic Marketplace: an open-source simulation environment for studying agentic markets
AI agents are poised to transform digital marketplaces. To explore what can happen when AI agents interact and transact at scale, we built Magentic Marketplace, an open-source simu...
RedCodeAgent: Automatic red-teaming agent against diverse code agents
Code agents help streamline software development workflows, but may also introduce critical security risks. Learn how RedCodeAgent automates and improves “red-teaming” attack simul...
Tell me when: Building agents that can wait, monitor, and act
SentinelStep enables AI agents to handle monitoring tasks that run for hours or days, like watching for emails or tracking prices. It works by managing when agents should check and...
Ideas: More AI-resilient biosecurity with the Paraphrase Project
In “Ideas,” collaborators Eric Horvitz, Bruce Wittmann, Tessa Alexanian, & James Diggans discuss a red-teaming effort that exposed & secured a biosecurity vulnerability in AI-drive...
When AI Meets Biology: Promise, Risk, and Responsibility
Microsoft researchers reveal a confidential research effort that explored how open-source AI tools could be used to bypass biosecurity checks—and helped create fixes now influencin...
Quanta Magazine
Particle Physicists Detect ‘Magic’ at the Large Hadron Collider
The supercollider is now being used to explore quantum phenomena, including a “magic” form of quantum entanglement.
A Cell So Minimal That It Challenges Definitions of Life
The newly described microbe represents a world of parasitic, intercellular biodiversity only beginning to be revealed by genome sequencing.
A New Bridge Links the Strange Math of Infinity to Computer Science
Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms.
Cosmic Paradox Reveals the Awful Consequence of an Observer-Free Universe
Encouraged by successes in understanding black holes, theoretical physicists are applying what they’ve learned to whole universes. What they’re finding has them questioning fundame...
Old ‘Ghost’ Theory of Quantum Gravity Makes a Comeback
Has the secret to understanding gravity been hiding in plain sight for nearly 50 years?
MachineLearningMastery.com
K-Means Cluster Evaluation with Silhouette Analysis
The Complete Guide to Docker for Machine Learning Engineers
Preparing Data for BERT Training
BERT Models and Its Variants
From Shannon to Modern AI: A Complete Information Theory Guide for Machine Learning
Why Decision Trees Fail (and How to Fix Them)
Training a Tokenizer for BERT Models
Forecasting the Future with Tree-Based Models for Time Series
The Complete AI Agent Decision Framework
Mastering JSON Prompting for LLMs
R-bloggers
From RUnit to testthat with Coding Agent Support
A case study of AI-supported maintenance in an R package Migrating a Test Suite Going from one testing framework to another in a mature R package can be tedious and still requires ...
Toponymy
Texte latin sur marbre noir – CC BY-NC-SA by Francisco Gonzalez Day 24 of 30DayMapChallenge: « Places and their names » (previously). BDTOPO is the most detailed topographic GIS da...
Bioconductor in Africa: Ethiopia’s First In-Person Course
Introduction Following the success of our first in-person Bioconductor course in Nairobi earlier this year, we continued building momentum across the continent with Ethiopia’s firs...
Twenty Questions and Decision Trees
Most of us have probably played the game Twenty Questions. The answerer chooses something, and the other players try to guess it by asking yes or no questions. The TV show "What's ...
Data Science Quiz For Humanities
Test your skills with this interactive data science quiz covering statistics, Python, R, and data analysis. Progress Answered 0 of 15 1Which of the following best describes a z-sco...
Flags
Colors of Youth !! – CC BY-NC-ND by Rahul Sheel Day 21-22 of 30DayMapChallenge: « Icons » & « Natural Earth » (previously). The world as flags… Data # install.packages("grImport2")...
(ICYMI) RPweave: Unified R + Python + LaTeX System using uv
Introducing RPweave, a unified document system that seamlessly integrates R, Python, and LaTeX for reproducible research and professional typesetting.
Should I Use Figma Design for Dashboard Prototyping?
Heard of Figma but not sure what it is? Seen Figma but not sure if it’s worth learning? Never seen or heard of Figma? If the answer to any of these questions is “Yes” then this blo...
Announcing AI in Production 2026: A New Conference for AI and ML Practitioners
Registration is now open for our first AI in Production conference, taking place on 4 and 5 June 2026 in Newcastle Upon Tyne. AI in Production is for people who want to see how AI ...
Acidification
Coral bleaching at Heron Island – CC BY by The Ocean Agency / XL Catlin Seaview Survey / Richard Vevers Day 20 of 30DayMapChallenge: « Water » (previously). Global ocean acidificat...
Robot Writers AI
Gemini 3.0: The New Gold Standard in AI
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
Hello, Old Friend?
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
China’s Out With a New Killer AI Creative Writer
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
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.
ChatGPT Now Works Inside Gmail, Google Docs
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
ChatGPT Upgrade Promised By Year’s End
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
Top Ten Stories in AI Writing, Q3 2025
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
New Claude Sonnet 4.5:
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
Workers to ChatGPT: Be My Friend
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
Charm Offensive
A new piece in The New York confirms that AI-generated writing -- along with similar AI creation tools -- is now the 'it' app.
Data Science Central
How AI is used in cybersecurity
Discover how AI is revolutionizing cybersecurity with advanced threat detection, predictive analysis, and automated responses, powered by GPU technology to combat evolving cyber th...
Metadata: How data about your data is optimal for AI
Discover how metadata enhances AI performance by providing crucial context for models. Learn key benefits, implementation strategies, and real-world examples for smarter AI systems...
From cloud costs to edge control – Modular data centers for sustainable and efficient AI
Beyond Copilots – The rise of agentic engineering
GenAI is evolving – fast. What started as helpful Assistants (Copilots) providing suggestions and insights is now morphing into something far more powerful: Agents capable of makin...
The hidden price of not being AI-ready
Human intelligence research lab to rank LLMs?
Is OpenAI creating a global compute monopoly?
Best practices that break data platforms
The rise of accountable AI agents: How knowledge graphs solve the autonomy problem
Across the tech sector, the term ‘AI agent’ has become Silicon Valley’s latest Rorschach test—revealing more about the speaker’s worldview than any shared technical definition. Acr...
The key to conversational speech recognition
deepcognition.ai
How Ikos | Sani Resort Achieved 85% Automation and 99% Accuracy in Just 4 Months with PaperEntry AI
Discover how the Sani/Ikos Group elevated its financial operations with PaperEntry AI, achieving 85% automation, 99% accuracy, and dramatically faster month-end closing through adv...
Deep Cognition at WESCCON 2025
Deep Cognition showcases PaperEntry AI at WESCCON 2025. Discover how AI-driven customs automation elevates brokers. Visit us at Booths 4 & 5.
Customs Brokerage in Flux: Why Intelligent Document Automation Is Now Essential
Learn how PaperEntry AI streamlines customs brokerage by automating document processing, ensuring compliance, reducing errors, and speeding up clearance times.
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
Beyond Paperwork: How Automation Transforms Customs Brokerage and Freight Forwarding
Streamline customs brokerage and freight forwarding with smart automation. Cut delays, boost accuracy, and scale faster. Schedule your demo today!
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.
Blog - neptune.ai
Synthetic Data for LLM Training
Learn about synthetic data as a widely used method to train foundation models when data is scarce, sensitive, or costly to collect.
What are LLM Embeddings: All you Need to Know
Learn about LLM embeddings: the numerical, vector representations of text that Large Language Models use to process information.
Detecting and Fixing ‘Dead Neurons’ in Foundation Models
Learn how dead neurons silently waste compute and reduce effective model capacity in foundation models, and how one can detect and fix them
Part 2: Instruction Fine-Tuning: Evaluation and Advanced Techniques for Efficient Training
Learn about key concepts like instruction masking or two-stream architecture and methods to prevent catastrophic forgetting.
How to Optimize LLM Inference
Learn how to optimize and speed up large language model inference with proven and tested optimization techniques.
A Researcher’s Guide to LLM Grounding
Learn what LLM grounding is, why LLMs have knowledge gaps, and how to improve accuracy and reliability in AI applications.
Part 1: Instruction Fine-Tuning: Fundamentals, Architecture Modifications, and Loss Functions
Learn about key concepts like instruction masking or two-stream architecture and methods to prevent catastrophic forgetting.
Understanding Prompt Injection: Risks, Methods, and Defense Measures
As a developer, it's your turn to incorporate required defenses like paraphrasing, delimiter usage, or perplexity checks into LLM workflows.
SabiYarn: Advancing Low-Resource Languages With Multitask NLP Pre-Training [Paper Reflections]
While LLMs have become ubiquitous, the resource-intensive pre-training process poses a threat to the inclusion of low-resource languages, where data is scarce.
How to Monitor, Diagnose, and Solve Gradient Issues in Foundation Models
Loss spikes are common during pre-training and can hinder model performance. This article explores underlying causes of these instabilities.
Radiant Earth
Great Data Products
The language we use to talk about data is keeping us from realizing its full potential.
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...
The Berkeley Artificial Intelligence Research Blog
RL without TD learning
What exactly does word2vec learn?
Whole-Body Conditioned Egocentric Video Prediction
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!
AI Weirdness
Tiny neural net Halloween costumes are the best
I've been experimenting with getting a tiny circa-2015 recurrent neural network to generate Halloween costumes. Running on a single cat hair-covered laptop, char-rnn has no interne...
More tiny neural net costumes
AI Weirdness: the strange side of machine learning
Halloween costumes by tiny neural net
I've recently been experimenting with one of my favorite old-school neural networks, a tiny program that runs on my laptop and knows only about the data I give it. Without internet...
Bonus: more halloween costumes from tiny neural net
AI Weirdness: the strange side of machine learning
Botober 2025: Terrible recipes from a tiny neural net
After seeing generated text evolve from the days of tiny neural networks to today's ChatGPT-style large language models, I have to conclude: there's something special about the tin...
Bonus: Char-rnn's jello creations
AI Weirdness: the strange side of machine learning
ChatGPT will apologize for anything
ChatGPT will apologize for anything - even advice it definitely didn't give, and stuff it definitely didn't do. It very much regrets its recommendation that we hire a giraffe as CE...
Revised instructions for troubleshooting the warp confabulator
AI Weirdness: the strange side of machine learning
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
Future of Life Institute
The U.S. Public Wants Regulation (or Prohibition) of Expert‑Level and Superhuman AI
Three‑quarters of U.S. adults want strong regulations on AI development, preferring oversight akin to pharmaceuticals rather than industry "self‑regulation."
Michael Kleinman reacts to breakthrough AI safety legislation
FLI celebrates a landmark moment for the AI safety movement and highlights its growing momentum
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.
Salmon Run
Book Review: Time Series Forecasting using Foundation Models
As someone who primarily works in NLP and Search in the Health Domain, I don't have much use for Time Series. However, while exploring the F...
Book Review: Statistics every Programmer Needs
I recently read Statistics every Programmer Needs by Gary Sutton. I am probably a good target audience for the book since I used to be a so...
Book Review: Hands-On Artificial Intelligence for IoT
For those in similar professional circles as I am in, i.e. looking forward into the Generative AI space, yet with one foot pragmatically and...
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...
David Stutz
RAISE 2025 panel statement on aligning AI to clinical values
Recently, I attended the Responsible AI for Social and Ethical Healthcare 2025 “2.0” Symposium organized by, among others, Harvard Medical School. The symposium featured various pa...
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...
ďťżThoughts 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...
Nanonets Blog | AI Document Processing & Workflow Automation
Intelligent Document Processing (IDP) — The AI/ML Brain of Document Workflows
Explore IDP—the AI brain of automation—complementing OCR, RPA, and ADP to handle unstructured documents across finance, legal, healthcare, and logistics.
Data parsing guide: Converting documents into fuel for your enterprise AI
A complete guide to modern data parsing. Covers the latest AI technologies (VLMs, RAG), types of parsing, and a blueprint for implementation in 2025.
The 2025 Guide to Intelligent Data Capture: From OCR to AI
Our 2025 guide to intelligent data capture covers the shift from OCR to AI-powered IDP, practical implementation workflows, and key industry applications.
The Unsung Hero of Automation: A Guide to Automated Document Processing (ADP)
Document volumes are exploding, but workflows are stuck in the past. Discover how ADP automates structured document processing for finance and operations, providing predictability,...
The Complete Guide to Document Processing: Technologies, Workflows, and the Future of Automation
A complete guide to document processing: what it is, why it matters, the technologies behind it, and how enterprises can adopt it.
The Complete Guide to Automated Data Extraction for Enterprise AI
A deep dive into automated data extraction—what it is, how it works, and how to design scalable pipelines for AI agents and enterprise workflows.
The Definitive Guide to Data Extraction Software: How to Choose the Right Tool
Confused by data extraction software? Our 2025 guide clarifies the market and helps you choose the right tool to automate document workflows and power your AI.
Top Priorities for Shared Services and GBS Leaders for 2026
Global Business Services (GBS) has evolved from back-office support to a strategic growth engine. With the shared services market projected at $111.3B by 2025 and global digital tr...
From Chaos to Clarity: Best Invoice Processing Automation Software in 2025
Discover the best invoice automation software of 2025. Compare top automated invoice processing solutions to cut AP costs, errors & cycle times.
A Guide to Document Classification: Using Machine Learning, Deep Learning & OCR
Master AI document classification. Our practical guide covers machine learning, deep learning, and OCR to help you automate workflows, cut costs, and improve accuracy.
VITALab
A Survey of popular LLM Evaluation Metrics
Large Language Models (LLMs) are increasingly applied to critical domains such as medical report generation, where accuracy and trust are essential. Evaluati...
Open-Source Large Language Models in Radiology: A Review and Tutorial for Practical Research and Clinical Deployment
Open-Source Large Language Models in Radiology
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
Posit AI Blog
mall 0.2.0
The mall 0.2.0 update for R and Python introduces support for external LLM providers like OpenAI and Gemini. This version also features parallel processing for R users, the abili...
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.
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...
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
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
In this article, I’ll focus on real-life business applications of AI and explore their key sources of competitive advantage.
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
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
We have curated a list of some of the highest-quality generative AI courses from respected providers such as DeepLearning.ai, Google Cloud, AWS, IBM, and more.
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 ...
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!
When Algorithms Dream of Photons: Can AI Redefine Reality Like Einstein?
Be Part of the AI Revolution at the Chatbot Conference Tomorrow!
Join the Most-Awaited Chatbot Conference
Limited Time Offer: Get Your Exclusive Online Passes to the Chatbot Conference — Act Fast!
Demystifying AI in the Water Industry
Building a Local Face Search Engine — A Step by Step Guide
Understanding the cp Command in Bash
Save up to $400 on Your Conference Tickets!
Why Apple Intelligence Might Fall Short of Expectations?
JMLR
Linear Separation Capacity of Self-Supervised Representation Learning
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
Learning with Linear Function Approximations in Mean-Field Control
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
Model-free Change-Point Detection Using AUC of a Classifier
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback
Multiple Instance Verification
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
Optimizing Return Distributions with Distributional Dynamic Programming
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 November 17, 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
AlphaGo, in context
ICML accepted papers institution stats
A Peek at Trends in Machine Learning
ICLR 2017 vs arxiv-sanity
Virtual Reality: still not quite there, again.
Yes you should understand backprop
CS183c Assignment #3