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.

De Minimis Is Fading, and AI Is Your Lifeline ❧ VernamVeil: A Fresh Take on Function-Based Encryption ☙ ❧ Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign) ❧ Repurposing Protein Folding Models for Generation with Latent Diffusion ☙ ❧ Beyond Paperwork: How Automation Transforms Customs Brokerage and Freight Forwarding ❧ Moving To Substack ☙ ❧ Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment ❧ Bezier Distillation ☙ ❧ Chem42: a Family of chemical Language Models for Target-aware Ligand Generation ❧ Gene42: Long-Range Genomic Foundation Model With Dense Attention ☙ ❧ Exploring Deep Learning Models for EEG Neural Decoding ❧ Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement ☙ ❧ Procrustes Wasserstein Metric: A Modified Benamou-Brenier Approach with Applications to Latent Gaussian Distributions ❧ Optimal Nonlinear Online Learning under Sequential Price Competition via s-Concavity ☙ ❧ EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python ❧ Online Selective Conformal Prediction: Errors and Solutions ☙ ❧ Sparse Additive Contextual Bandits: A Nonparametric Approach for Online Decision-making with High-dimensional Covariates ❧ Nike Airforce ☙ ❧ Notes from course: Generative AI with Large Language Models - Week 3 ❧ How to Deploy ASP.NET Applications on IIS: Complete Guide ☙ ❧

Digital Journal
‘Apprentice’ star Jeremy Strong says ‘truth under assault’
"The Apprentice" star Jeremy Strong said Tuesday that "truth is under assaul."
Growing old: How US states differ in lifestyle and life expectancy
Life expectancy varies across the USA. Why is this? The article reveals all....
Asian markets swing as China-US trade euphoria fades
Asian stocks fluctuated Wednesday, with investors struggling to track a strong day on Wall Street as euphoria over the China-US trade detente petered
Sony logs 18% annual net profit jump, forecast cautious
Japanese entertainment and electronics giant Sony on Wednesday reported an 18 percent jump in annual net profit but issued a cautious forecast for the
China, US to lift sweeping tariffs in trade war climbdown
The United States and China will lift sweeping tariffs on each others' goods for 90 days on Wednesday, after a temporary ceasefire in a brutal trade war
Interview: Oscar nominee Lorraine Bracco is having ‘More Fun’ than ever before
Academy Award nominee Lorraine Bracco ("Goodfellas") chatted about starring in the new Netflix film "Nonnas," which debuted at No. 1.
Australian seaweed farm tackles burps to help climate
It is barely visible, and needs no irrigation or fertilisers: lying off the coast of Australia is a vast seaweed crop destined to curb livestock's
Judgment day in EU chief’s Covid vaccine texts case
A top court is to rule Wednesday on whether the EU failed the transparency test by declining to release text messages sent by Ursula von der Leyen to the
Trump set to meet Syrian leader ahead of Qatar visit
Donald Trump was set to meet the leader of Syria and the heads of the Gulf states Wednesday in Riyadh before travelling to Qatar where controversy is
‘Panic and paralysis’: US firms fret despite China tariff reprieve
President Donald Trump's rollercoaster tariff row with Beijing has wreaked havoc on US companies that rely on Chinese manufacturing, with a temporary
Machine Learning
[R] Has anyone saved + reloaded a model’s internal state mid-inference to enable agent collaboration?
[D] Hello can we train using google images as they have large images
[D] Trying to make sparse neural retrieval more usable
[D] Confused PhD ML Student: Looking for advice on tying research to industry
[D] Is topic modelling obsolete?
[P] Al Solution for identifying suspicious Audio recordings
[D] Helps in Neurips submission
Customer churn prediction system with imbalanced and overlapping classes [D]
[D] Reviewer cited a newer arXiv paper as prior work and ours was online earlier. How to handle in rebuttal?
[D] LxMLS 2025 decision
DEV Community
[Boost]
How to generate dynamic invoices for SaaS applications in... Tagged with webdev, programming, python, tutorial.
How to Write Python Code Compatible with Both Python 2 and 3?
When working on a project that requires compatibility with both Python 2 and Python 3, it's essential... Tagged with python.
How to generate dynamic invoices for SaaS applications in Python 💸
Invoice generation in SaaS applications doesn’t have to be tedious. With reportgen.io, you can... Tagged with webdev, programming, python, tutorial.
Time series Models
Here’s a point-form style article titled "The Complete Guide to Time Series Models" — perfect for a...
Mastering Standard Deviation in Python with np.std
When it comes to understanding data, numbers by themselves often don't tell the complete story....
How to Create Custom Marshaler for gRPC in Go?
Introduction In software development, especially when dealing with APIs, it’s crucial to have data... Tagged with go.
A Tale of TCO in JavaScript
One major feature of Javascript is it is a single-threaded environment; it can only execute one task... Tagged with javascript, es6, tco.
Role of MLOps in Machine Learning Deployment
The Growing Role of MLOps in Machine Learning Deployment What is MLOps? MLOps...
How to Build a Prompt-Friendly UI with React & TypeScript
Designing composable, maintainable, and developer-oriented interfaces for LLM apps ... Tagged with ai, react, webdev, javascript.
[HandsOn]Launching and testing Cisco Catalyst 8000V for SD-WAN & Routing on AWS
Introduction Thank you for always reading our articles! I was personally curious as to... Tagged with cisco, aws, network.
Machine Learning Questions
CAN YOU BEAT MY CNN ALGORITHM? FREE CHALLENGE - TOP PREDICTOR WINS REDDIT GOLD!
How Do I Make ML Models Predict the Actual Future, Not Just Past Data?
AI Model Barely Learning
EMOCA setup
How to smooth peak-troughs in training data
Looking to chat with a technical person (ML/search/backend) about a product concept
AI Solution for identifying suspicious Audio recordings
LLMs in industry?
[R] Comparing Linear Transformation of Edge Features to Learnable Embeddings
Large-Scale Image Near-Duplicate Detection for Real Estate Dataset
Learn Machine Learning
Great Learning is a scam company?
A Comprehensive Guide to Google NotebookLM
Is everything tokenizable?
SWE moving to an AI team. How do I prepare?
Models predict samples as all Class 0 or all Class 1
The Little Book of Deep Learning - François Fleuret
Collection of research papers relevant for AI Engineers (Large Language Models specifically)
EMOCA setup
Road map for data science reconnect
Research for Reddit gold
MIT News - Artificial intelligence
Study shows vision-language models can’t handle queries with negation words
MIT researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like “no” and “not.” This could cause them to fail unexpe...
MIT Department of Economics to launch James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work
The MIT Economics department will launch the James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work, led by Daron Acemoglu and co-directors David Autor ...
Hybrid AI model crafts smooth, high-quality videos in seconds
The CausVid tool uses a full-sequence diffusion model to teach an autoregressive system to swiftly create videos. Users can generate clips and modify them on the fly with new promp...
Q&A: A roadmap for revolutionizing health care through data-driven innovation
"The Analytics Edge in Healthcare," co-written by MIT Vice Provost for Open Learning Dimitris Bertsimas and two MIT alumni, explores how analytics is driving decisions an...
New tool evaluates progress in reinforcement learning
IntersectionZoo, a new benchmarking tool led by MIT's Cathy Wu, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Novel AI model inspired by neural dynamics from the brain
MIT CSAIL researchers developed “linear oscillatory state-space models” to leverage harmonic oscillators. Capturing the stability and efficiency of biological neural systems and tr...
Making AI models more trustworthy for high-stakes settings
MIT researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stak...
The MIT-Portugal Program enters Phase 4
The MIT-Portugal Program launches its Phase 4, which will give more weight to educational exchanges and entrepreneurship.
Merging design and computer science in creative ways
MIT graduate student and MAD Fellow Alexander Htet Kyaw combines AI, AR, robotics, and gesture recognition to develop tools like Curator AI, Estimate, and BendShelters — advancing ...
Novel method detects microbial contamination in cell cultures
SMART CAMP researchers have developed a novel method using UV light and machine learning to quickly and automatically detect and monitor microbial contamination in cell therapy pro...
MIT News - Machine learning
Study shows vision-language models can’t handle queries with negation words
MIT researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like “no” and “not.” This could cause them to fail unexpe...
How can India decarbonize its coal-dependent electric power system?
New research explores India’s options for cutting carbon emissions from its coal-dominated electric power system while also meeting increased future demand for electricity.
Hybrid AI model crafts smooth, high-quality videos in seconds
The CausVid tool uses a full-sequence diffusion model to teach an autoregressive system to swiftly create videos. Users can generate clips and modify them on the fly with new promp...
Q&A: A roadmap for revolutionizing health care through data-driven innovation
"The Analytics Edge in Healthcare," co-written by MIT Vice Provost for Open Learning Dimitris Bertsimas and two MIT alumni, explores how analytics is driving decisions an...
New tool evaluates progress in reinforcement learning
IntersectionZoo, a new benchmarking tool led by MIT's Cathy Wu, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Novel AI model inspired by neural dynamics from the brain
MIT CSAIL researchers developed “linear oscillatory state-space models” to leverage harmonic oscillators. Capturing the stability and efficiency of biological neural systems and tr...
Making AI models more trustworthy for high-stakes settings
MIT researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stak...
Novel method detects microbial contamination in cell cultures
SMART CAMP researchers have developed a novel method using UV light and machine learning to quickly and automatically detect and monitor microbial contamination in cell therapy pro...
Robotic system zeroes in on objects most relevant for helping humans
MIT roboticists developed a way to cut through data noise and help robots focus on the features in a scene that are most relevant for assisting humans. The system could be used in ...
New model predicts a chemical reaction’s point of no return
MIT researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model...
cs.LG updates on arXiv.org
Blockbuster, Part 1: Block-level AI Operator Fusion
Abstract page for arXiv paper 2505.07829: Blockbuster, Part 1: Block-level AI Operator Fusion
A General Approach of Automated Environment Design for Learning the Optimal Power Flow
Abstract page for arXiv paper 2505.07832: A General Approach of Automated Environment Design for Learning the Optimal Power Flow
Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
Abstract page for arXiv paper 2505.07895: Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting
Abstract page for arXiv paper 2505.07901: Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting
A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny
Abstract page for arXiv paper 2505.07908: A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization
Abstract page for arXiv paper 2505.07910: Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Abstract page for arXiv paper 2505.07911: Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
On-Device Crack Segmentation for Edge Structural Health Monitoring
Abstract page for arXiv paper 2505.07915: On-Device Crack Segmentation for Edge Structural Health Monitoring
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Abstract page for arXiv paper 2505.07921: Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
Abstract page for arXiv paper 2505.07956: Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
stat.ML updates on arXiv.org
Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions
Abstract page for arXiv paper 2505.07825: Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions
Wasserstein Distributionally Robust Nonparametric Regression
Abstract page for arXiv paper 2505.07967: Wasserstein Distributionally Robust Nonparametric Regression
Sharp Gaussian approximations for Decentralized Federated Learning
Abstract page for arXiv paper 2505.08125: Sharp Gaussian approximations for Decentralized Federated Learning
SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
Abstract page for arXiv paper 2505.08198: SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
Lie Group Symmetry Discovery and Enforcement Using Vector Fields
Abstract page for arXiv paper 2505.08219: Lie Group Symmetry Discovery and Enforcement Using Vector Fields
Iteratively reweighted kernel machines efficiently learn sparse functions
Abstract page for arXiv paper 2505.08277: Iteratively reweighted kernel machines efficiently learn sparse functions
Learning Treatment Allocations with Risk Control Under Partial Identifiability
Abstract page for arXiv paper 2505.08378: Learning Treatment Allocations with Risk Control Under Partial Identifiability
neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
Abstract page for arXiv paper 2505.08610: neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
Abstract page for arXiv paper 2505.08683: Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data
Abstract page for arXiv paper 2505.08698: Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data
Self-Hosted Alternatives to Popular Services
How to setup Kubernetes for reliable self-hosting
Can (should) I publish my LXC/Dockers publicly
For those who self host an authentication solution, what are some pain points you run into?
I got sick of Retool's GUI builder, so I made Sourcetool: A code-first alternative
Built LogForge — a real-time Docker dashboard with alerts
Is there any moder RSS aggregator?
Homepage Final Form
Data not being written to sftpgodata
What could be a good first-contact with selfhosting?
Services Monitor Dashboard
Artificial Intelligence (AI)
One-Minute Daily AI News 5/13/2025
I was chosen to give a presentation at an analytics symposium for my abstract- leveraging large language models to accelerate engineering without compromising expertise
Copilot on Immanent Critique
‘AI models are capable of novel research’: OpenAI’s chief scientist on what to expect
Audible is using AI narration to help publishers crank out more audiobooks
I’ve got Astra V3 as close to production ready as I can. Thoughts?
Could 'Banking' Computational Resources Unlock New AI Capabilities? A Novel Concept for Dynamic Token Use.
Google's Chief Scientist Jeff Dean says we're a year away from AIs working 24/7 at the level of junior engineers
When sensing defeat in chess, o3 tries to cheat by hacking its opponent 86% of the time. This is way more than o1-preview, which cheats just 36% of the time.
AI generator that can copy the same style over a series of images?
Data Science
Is LinkedIn data trust worthy?
Those in manufacturing and science/engineering, aside from classic DoE (full-fact, CCD, etc.), what other experimental design tools do you use?
What do you use to build dashboards?
[8 YoE] 7 Years Software Engineer Trying to Pivot to Data Analytics/Science/Machine Learning
Do open source contributors still need to do coding challenges?
Now you're paying an analyst $50/hr to standardize date formats instead of doing actual analysis work.
"Day Since Last X" feature preprocessing
is it necessary to learn some language other than python?
Weekly Entering & Transitioning - Thread 12 May, 2025 - 19 May, 2025
rixpress: an R package to set up multi-language reproducible analytics pipelines (2 Minute intro video)
Deep Learning
Models predict samples as all Class 0 or all Class 1
The Little Book of Deep Learning - François Fleuret
Create dominating Gym - Pong player
The best lies that man have ever published in the field of space. Best answer from the chatgpt
Detailed Proof of the Bellman Optimality equations
I have a question about the performance of the anomaly detection papers.
METACOG-25 Introduction
NEED A DEE LEARNING COURSE ASAP
Open-source RL Model for Predicting Sales Conversion from Conversations + Free Agent Platform (Dataset, Training, Model, Paper, Demo)
Strange phenomenon with trainning yolov5s
Towards Data Science
Survival Analysis When No One Dies: A Value-Based Approach
A generalized version of Kaplan-Meier allows to model a continuous value (like money) instead of a binary signal (like survival)
Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide
From setup to your first command line application — step by step
Non-Parametric Density Estimation: Theory and Applications
A theoretical and practical introduction to non-parametric density estimation.
Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware
A statistical analysis of what drives energy, water, and carbon consumption in AI training — and whether hardware improvements are enough.
TDS Authors Can Now Receive Payments Via Stripe
The Author Payment Program just became a lot more streamlined
Empowering LLMs to Think Deeper by Erasing Thoughts
Introduction Recent large language models (LLMs) — such as OpenAI’s o1/o3, DeepSeek’s R1 and Anthropic’s Claude 3.7 — demonstrate that allowing the model to think deeper and longer...
How I Finally Understood MCP — and Got It Working in Real Life
The guide I needed when I had no idea why anyone would build an MCP server for an AI assistant.
The Westworld Blunder
Giving artificial minds the appearance of suffering without the awareness that it’s just a performance is not only unethical and unnecessary, but also dangerous and self-harmful.
Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack
Build trust into your machine learning pipelines by inserting fast, secure human checks.
Running Python Programs in Your Browser
Using Pyodide and Webassembly
R-bloggers
Spatial machine learning with caret
This is the second part of a blog post series on spatial machine learning with R. You can find the list of other blog posts in this series in part one. Introduction This document s...
Notes on DEseq2 design
My note from today's lab meeting:For senario like Rambo's project, where in a case-control two group comparison, each subject has multiple repeats (or multiple time points). To tes...
Using LLMs with ellmer workshop by Hadley Wickham
Join our workshop on Using LLMs with ellmer, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Using LLMs with ellmer Date: Friday, June 13th, 18:0...
Multi-language pipelines with rixpress
If you want to watch a 2-Minute video introduction to {rixpress}, click the image below: In August last year I tried to see how one could use Nix as a built automation tool for dat...
[R] Use new_scale_xxx() function to add the same scale type in different ggplot layers
Zhenguo Zhang's Blog /2025/05/10/r-use-new-scale-xxx-function-to-add-the-same-scale-type-in-different-ggplot-layers/ - In one ggplot figure, normally you can only use one scale for...
Roaringly Acknowledge Organizations with ROR IDs in DESCRIPTION
A few years ago, the R community started using ORCID (“Open Researcher and Contributor ID”) to persistently and uniquely identify individual authors of packages in DESCRIPTION. The...
A Data Scientist’s View of Running R in Visual Studio Code
A new, universal development environment VS Code is Microsoft’s open-source software development environment that can be customized for any language. It is arguably the general-pur...
Trend-Anomaly Analysis: Ethereum’s Pectra Upgrade
The Pectra upgrade for Ethereum could catalyze the expected uptrend despite the reduced risk appetite caused by the Tariff War between the US and China. Based on the trend-anomaly ...
R/exams Presents: Fun with Flags
Standalone knowledge quiz about the flags of countries and their neighbors, along with the Quarto source files to generate this. Knowledge quiz Standalone file: flags.html Resource...
Repost: uv, part 3: Python in R with reticulate
Reposted from the original at https://blog.stephenturner.us/p/uv-part-3-python-in-r-with-reticulate.Two demos using Python in R via reticulate+uv: (1) Hugging Face transformers for...
Machine learning : nature.com subject feeds
Prediction and design of thermostable proteins with a desired melting temperature
The stability of proteins at higher temperatures is crucial for their functionality, which is measured by their melting temperature (Tm). The Tm is the temperature at which 50% of ...
Author Correction: Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida
Communications Biology - Author Correction: Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida
Bringing comparative cognition approaches to AI systems
Researchers are increasingly considering the cognitive capacities of artificial intelligence systems. Comparative cognition offers a helpful framework to avoid both overstating and...
Improving AI models for rare thyroid cancer subtype by text guided diffusion models
Artificial intelligence applications in oncology imaging often struggle with diagnosing rare tumors. We identify significant gaps in detecting uncommon thyroid cancer types with ul...
A clinically applicable AI system for detection and diagnosis of bone metastases using CT scans
Manual interpretation of CT images for bone metastasis (BM) detection in primary cancer remains challenging. We present an automated Bone Lesion Detection System (BLDS) developed u...
Prediction of protein subcellular localization in single cells
The subcellular localization of a protein is important for its function, and its mislocalization is linked to numerous diseases. Existing datasets capture limited pairs of proteins...
Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning
Electric vehicle (EV) $$\hbox {CO}_2$$ emissions should be predicted and mitigated, which requires lowering EV emissions in line with global sustainability goals. Such accurate for...
A protein language model for exploring viral fitness landscapes
Successively emerging SARS-CoV-2 variants lead to repeated epidemic surges through escalated fitness (i.e., relative effective reproduction number between variants). Modeling the g...
Detection of sugar beet seed coating defects via deep learning
The global seed coating market is expected to experience substantial growth, increasing from a 2023 valuation of USD 2.0 billion to an estimated value of USD 3.1 billion by 2028. T...
Token-Mol 1.0: tokenized drug design with large language models
The integration of large language models (LLMs) into drug design is gaining momentum; however, existing approaches often struggle to effectively incorporate three-dimensional molec...
Reinforcement Learning
Best AI Tools for Research
MSE plot for hard & soft update in Deep Q learning
Detailed Proof of the Bellman Optimality equations
Open-source RL Model for Predicting Sales Conversion from Conversations + Free Agent Platform (Dataset, Model, Paper, Demo)
Continuous time multi-armed bandits?
What is the difference between NEAT and other machine learning algorithm like PPO / DQN?
Resources to learn Isaac Gym?
Finally a real alternative to ADAM? The RAD optimizer inspired by physics
[D] Compensation for research roles in US for fresh RL PhD grad
agent stuck jumping in place
Artificial Intelligence | TechRepublic
Noodlophile Malware Distributed Through Bogus AI Video Generators: Who Are the Targets?
Android Unveils One of Its ‘Biggest Updates in Years’ at I/O Event
Trump Expected to Use AI Chips Dominance to Forge Middle East Deals
iPhone Users’ Wait for Better Battery Life May Be Over With iOS 19
Samsung Galaxy S25 Edge Unveiled: Slimmer, Lighter, Smarter – Preorder Now
$100B Stargate AI Project From OpenAI and SoftBank Stalls – Here’s Why
Forrester’s Top 10 Emerging Tech for 2025: Which 3 are Standouts?
Ethical AI ‘Begins With Responsible Innovators and AI Governance,’ Says SAS Exec
Alibaba’s ZeroSearch Cuts AI Training Costs by 88% — No Googling Needed
iPhones Could Be Unnecessary in 10 Years, Apple Exec Suggests
Artificial Intelligence News -- ScienceDaily
Eldercare robot helps people sit and stand, and catches them if they fall
Engineers built E-BAR, a mobile robot designed to physically support the elderly and prevent them from falling as they move around their homes. E-BAR acts as a set of robotic handl...
Robotic hand moves objects with human-like grasp
A robotic hand can pick up 24 different objects with human-like movements that emerge spontaneously, thanks to compliant materials and structures rather than programming.
Submarine robot catches an underwater wave
Engineers have taught a simple submarine robot to take advantage of turbulent forces to propel itself through water.
Ping pong bot returns shots with high-speed precision
Engineers developed a ping-pong-playing robot that quickly estimates the speed and trajectory of an incoming ball and precisely hits it to a desired location on the table.
Robotic dog mimics mammals for superior mobility on land and in water
A team of researchers has unveiled a cutting-edge Amphibious Robotic Dog capable of roving across both land and water with remarkable efficiency.
Eco-friendly aquatic robot is made from fish food
An edible robot leverages a combination of biodegradable fuel and surface tension to zip around the water's surface, creating a safe -- and nutritious -- alternative to environment...
Is AI truly creative? Turns out creativity is in the eye of the beholder
What makes people think an AI system is creative? New research shows that it depends on how much they see of the creative act. The findings have implications for how we research an...
Transforming hospital sanitation: Autonomous robots for wiping and UV-C disinfection
A research team develops disinfection robot combining physical wiping and UV-C sterilization.
Gender characteristics of service robots can influence customer decisions
While service robots with male characteristics can be more persuasive when interacting with some women who have a low sense of decision-making power, 'cute' design features -- such...
Robotic touch sensors are not just skin deep
Researchers argue that the problem that has been lurking in the margins of many papers about touch sensors lies in the robotic skin itself.
AI News - Artificial Intelligence - Machine Learning News | Futurism
Company Regrets Replacing All Those Pesky Human Workers With AI, Just Wants Its Humans Back
Years after outsourcing marketing and customer service gigs to AI, the Swedish company Klarna is looking to hire its humans back.
Why Elon Musk Is Furious and Publicly Raging at His Own AI Chatbot, Grok
Elon Musk is mad that his AI chatbot, Grok, referred to The Atlantic and The BBC as credible news sources.
New Law Would Ban All AI Regulation for a Decade
Republicans proposed an updated bill last night that would ban all AI regulation, at the state and federal levels, for ten years.
The US Copyright Chief Was Fired After Raising Red Flags About AI Abuse
The US Copyright Office released a report that could be bad for powerful AI companies. The next day, the agency's head was fired.
The New Pope Is Deeply Skeptical of AI
Pope Leo XIV, the newly-crowned first American pope, is keeping the social costs of rapid AI advancement front and center.
USA TODAY’s Disclaimers on Its Automated Sports Stories Are Longer Than the Actual Articles
USA Today is publishing automated articles full of links to gambling sportsbooks, which may result in financial kickbacks for the publisher.
Gannett Is Using AI to Pump Brainrot Gambling Content Into Newspapers Across the Country
The media giant Gannett is using AI to "automatically generate" content about lottery scores and tickets in local newspapers across the US.
AI Brown-Nosing Is Becoming a Huge Problem for Society
AI's desire to please is becoming a danger to humankind as users turn to it to confirm misinformation, race science, and conspiracy theories.
Chinese Tech Giant Wants to Translate Your Cat's Meows Using AI
Chinese tech company Baidu is working on an artificial intelligence-based translation system that could tell you what your meowing cat is trying to tell you. As Reuters reports, th...
The FDA Will Use AI to Accelerate Approving Drugs
The FDA announced that it will start using AI across all of its centers to shorten the drug review process.
John D. Cook
Alternative exp and log notation
Alternative notation for exponents and logs using up and down arrows has several advantages. Mathematical symmetries come out as visual symmetries.
Decimal Separator and Internationalization
Avoiding problems related to different conventions for representing decimals and separating thousands.
A crowded little chess puzzle
A chess puzzle by Martin Garnder and links to similar articles.
Formulating eight queens as a SAT problem
How to turn the eight queens problem into a Boolean satisfiability (SAT) problem.
Special solutions to the eight queens problem
There are 12 equivalence classes of solutions to the 8 queens problem. One class is highly symmetric. One is a solution to the no-three-in-line problem.
The non-attacking bishops problem
How many bishops can you place on a chessboard so that no bishop is attacking any other bishop?
Sorting Roman numerals
Alphabetical order and numerical order match surprisingly well for moderately small numbers.
Frequency of names of English monarchs
Frequency of names of English monarchs, from the most common (Edward) to the least (John).
Frequency of papal names
Frequency of names for popes. The most popular has been John, used 21 times, even though there was a John XXIII.
Square root of a small number
Why might it be a problem if a numerical algorithm takes the square root of a small number? Why the most obvious fix is insufficient.
SAS Blogs
Modern marketing: Making the customer experience an epic experience
Deliver seamless, personalized customer journeys that drive loyalty, growth and real-time connection through modern marketing.
What's next for SAS 9 and SAS Enterprise Guide?
SAS announces continued support and releases for SAS 9 and a new role for SAS Enterprise Guide with SAS Viya.
Making AI available for everyone
Discover how SAS is making AI more accessible through education, cloud, innovation and global partnerships.
Stratified bootstrapping and when to use it
When you use the bootstrap method in statistics, the most common resampling method is called case resampling.
Brené Brown at SAS Innovate: A data-lover’s take on leading through paradox
Brené Brown speaks on empathy, courage and the power of vulnerability as the source code we need for the changing future of work.
On trust and responsible innovation: ‘Right now is an all-in moment’
Trust and responsible innovation lead the way as AI outpaces regulation and challenges global decision-making.
AI that works for you: SAS unveils the future of innovation
SAS is transforming AI with SAS Viya Workbench, SAS Data Maker and SAS Viya Copilot to boost productivity and innovation across industries.
Big surprises and even bigger ideas from The Late (Afternoon) Show
From Fresh Prince stars to AI insights, SAS Innovate’s late afternoon show delivered surprise and substance.
SAS Innovate: The real AI advantage? It’s not what you think
Ask most people what gives AI its edge and they'll likely point to speed, automation or the aura of generative AI tools.
Unlock advanced audience targeting with SAS® Customer Intelligence 360 and Amazon Bedrock's generative AI
Create precise marketing audiences instantly using GenAI and natural language processing with SAS and Amazon Bedrock.
Feed: Artificial Intelligence Latest
Google’s Advanced Protection for Vulnerable Users Comes to Android
A new extra-secure mode for Android 16 will let at-risk users lock their devices down.
Google Is Using On-Device AI to Spot Scam Texts and Investment Fraud
Android’s “Scam Detection” protection in Google Messages will now be able to flag even more types of digital fraud.
Android 16 Is Getting a Facelift, and Gemini Is Rolling Onto More Google Platforms
Google teased all the new features coming to its mobile operating system ahead of next week’s I/O conference.
Singapore’s Vision for AI Safety Bridges the US-China Divide
In a rare moment of global consensus, AI researchers from the US, Europe, and Asia came together in Singapore to form a plan for researching AI risks.
OpenAI and the FDA Are Holding Talks About Using AI In Drug Evaluation
High-ranking OpenAI employees have met with the FDA multiple times in recent weeks to discuss AI and a project called cderGPT.
Amazon Has Made a Robot With a Sense of Touch
Vulcan, a robot with tactile senses, is a step towards automating more of picking and stowing work done by humans inside Amazon’s fulfillment centers.
OpenAI Backs Down on Restructuring Amid Pushback
The startup behind ChatGPT is going to remain in nonprofit control, but it still needs regulatory approval.
Take a Tour of All the Essential Features in ChatGPT
If you missed WIRED's live, subscriber-only Q&A focused on the software features of ChatGPT, hosted by Reece Rogers, you can watch the replay here.
The Dream of the Metaverse Is Dying. Manufacturing Is Keeping It Alive
Forget Mark Zuckerberg’s vision of VR meetings; the industrial metaverse bridges digital and physical worlds in a way that’s actually useful.
DOGE Is in Its AI Era
In its push for “efficiency,” DOGE has leaned increasingly on AI—regardless of whether it makes any sense.
New Scientist - Technology
The Titanic's twin: Digitally exploring the famous shipwreck
The world's most famous shipwreck, the RMS Titanic, sits around 3800 metres below the surface of the Atlantic Ocean and is currently a protected site due to an agreement between th...
The FBI is getting new technology to see through walls
A lunchbox-sized radar system could help the FBI detect moving or stationary people by peering through walls via radio waves
AI hallucinations are getting worse – and they're here to stay
An AI leaderboard suggests the newest reasoning models used in chatbots are producing less accurate results because of higher hallucination rates. Experts say the problem is bigger...
Concerns raised over AI trained on 57 million NHS medical records
The makers of an AI model called Foresight say it could help predict disease or hospitalisation rates, but others have expressed concern about the fact it is trained on millions of...
US government is using AI for unprecedented social media surveillance
Under the Trump administration, multiple US government agencies are using AI and other tools to broadly track the social media of tourists and immigrants – and potentially to watch...
Quantum computers don’t always need more qubits – just add chaos
To create useful randomness in a quantum computer, you could add more quantum bits, but using quantum chaos does the trick too
The clocks that helped define time from London's Royal Observatory
From sundials to atomic clocks, our understanding of time has become a lot more accurate as technological developments allowed us to measure it more precisely. Much more than helpi...
Hijacked cicadas play music like a cyborg loudspeaker
Cicadas can be turned into living speakers and made to play music such as Pachelbel’s Canon
Meta, Amazon and Google accused of 'distorting' key AI rankings
A test of AI model performance across the industry is being gamed by technology giants, making objective scientific comparison impossible, researchers have claimed
Housework robots are a step closer as they learn to work in any home
Robots often struggle to carry out tasks in places where they haven’t been trained, but a new AI model helps them clean up a mess or make a bed in unfamiliar settings
NVIDIA Technical Blog
Connect Simulations with the Real World Using NVIDIA Air Services
NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. With NVIDIA Air, you can spin up…
Just Released: NVIDIA Warp is Now Open-Source Under Apache 2.0
A Python framework for accelerated simulation, data generation and spatial computing. - NVIDIA/warp
Accelerated AI Inference with NVIDIA NIM on Azure AI Foundry
The integration of NVIDIA NIM microservices into Azure AI Foundry marks a major leap forward in enterprise AI development. By combining NIM microservices with…
Run Hugging Face Models Instantly with Day-0 Support from NVIDIA NeMo Framework
As organizations strive to maximize the value of their generative AI investments, accessing the latest model developments is crucial to continued success.
CUDA C++ Compiler Updates Impacting ELF Visibility and Linkage
In the next CUDA major release, CUDA 13.0, NVIDIA is introducing two significant changes to the NVIDIA CUDA Compiler Driver (NVCC) that will impact ELF…
Applying Specialized LLMs with Reasoning Capabilities to Accelerate Battery Research
Scientific research in complex fields like battery innovation is often slowed by manual evaluation of materials, limiting progress to just dozens of candidates…
Applying Autoencoder-Based GNNs for High-Throughput Network Anomaly Detection in NetFlow Data
As modern enterprise and cloud environments scale, the complexity and volume of network traffic increase dramatically. NetFlow is used to record metadata about…
Extending the NVIDIA Agent Intelligence Toolkit to Support New Agentic Frameworks
NVIDIA Agent Intelligence toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents. It focuses on enabling developers to…
Turbocharge LLM Training Across Long-Haul Data Center Networks with NVIDIA Nemo Framework
Multi-data center training is becoming essential for AI factories as pretraining scaling fuels the creation of even larger models, leading the demand for…
Revolutionizing Neural Reconstruction and Rendering in gsplat with 3DGUT
Realistic 3D simulation is becoming a cornerstone of modern AI and graphics, from training autonomous vehicles (AV) to powering robotics and digital twins.
AI-Tech Park
Aranscia Announced the Acquisition of Spesana
Electronic Health Systems Pioneer Carla Balch Joins Aranscia's Executive Leadership Team Aranscia, a global provider of award-winning clinical workflow and diagnostic technology so...
Altamont Software Successfully Integrates AI-Powered Radiology Reporting
Adoption of this emerging technology requires data integration with existing modalities and clinical IT systems. Altamont Software, a provider of enterprise medical imaging connect...
Nsight Health and Zoo Health Announce Strategic Partnership
Nsight Health, a leading provider of Remote Patient Monitoring (RPM) and Chronic Care Management (CCM) services, is pleased to announce a new partnership with Zoo Health, a premier...
HostColor Expands Unmetered Bare Metal Server Offerings
HostColor.com (HC) announced a new expansion of its bare metal servers with unmetered bandwidth ports. The servers are well suited for dedicated clouds and various high performance...
DigitalOcean’s New GPU Droplets, Accelerated by NVIDIA Available
GPU Droplets support inference and complex AI workloads DigitalOcean Holdings, Inc. (NYSE: DOCN), the simplest scalable cloud for digital native enterprises, today announced that N...
Clio Appoints John Foreman as Chief Product Officer
Industry veteran brings nearly two decades of SaaS leadership to drive Clio's AI-driven multi-product strategy forward John Foreman's appointment signals Clio's continued investmen...
Proofpoint Launches Next-Gen DCG offering with Enhancements
New AI-powered capabilities offer intelligent search, advanced global archiving, ML-driven supervision, and industry-leading compliance capabilities for today’s complex regulatory ...
Hunted Labs Launches Entercept™
With partnerships already underway with BrainGu and Parabol, Hunted Labs gives security leaders real-time visibility into human and technical risk in enterprise source code. Hunted...
Algolia Launches Real-Time AI Agents for Salesforce and Adobe
Algolia, the AI-native search and discovery platform used by over 18,000 businesses, announced a new AI agent experience that proves how autonomous systems can reason and act on re...
RapidFort to Showcase at FeinDef 2025
RapidFort, the fastest growing cybersecurity company securing the global software supply chain, will be exhibiting at FeinDef 2025 in Madrid, Spain. Meet At FeinDef: Attendees can ...
AWS Machine Learning Blog
Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt injections
Generative AI tools have transformed how we work, create, and process information. At Amazon Web Services (AWS), security is our top priority. Therefore, Amazon Bedrock provides co...
Build scalable containerized RAG based generative AI applications in AWS using Amazon EKS with Amazon Bedrock
In this post, we demonstrate a solution using Amazon Elastic Kubernetes Service (EKS) with Amazon Bedrock to build scalable and containerized RAG solutions for your generative AI a...
How Hexagon built an AI assistant using AWS generative AI services
Recognizing the transformative benefits of generative AI for enterprises, we at Hexagon’s Asset Lifecycle Intelligence division sought to enhance how users interact with our Enterp...
Build an intelligent community agent to revolutionize IT support with Amazon Q Business
In this post, we demonstrate how your organization can reduce the end-to-end burden of resolving regular challenges experienced by your IT support teams—from understanding errors a...
Elevate marketing intelligence with Amazon Bedrock and LLMs for content creation, sentiment analysis, and campaign performance evaluation
In the media and entertainment industry, understanding and predicting the effectiveness of marketing campaigns is crucial for success. Marketing campaigns are the driving force beh...
How Deutsche Bahn redefines forecasting using Chronos models – Now available on Amazon Bedrock Marketplace
Whereas traditional forecasting methods typically rely on statistical modeling, Chronos treats time series data as a language to be modeled and uses a pre-trained FM to generate fo...
Use custom metrics to evaluate your generative AI application with Amazon Bedrock
Now with Amazon Bedrock, you can develop custom evaluation metrics for both model and RAG evaluations. This capability extends the LLM-as-a-judge framework that drives Amazon Bedro...
Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration
This post explores a financial assistant system that specializes in three key tasks: portfolio creation, company research, and communication. This post aims to illustrate the use o...
WordFinder app: Harnessing generative AI on AWS for aphasia communication
In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof. David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop W...
Get faster and actionable AWS Trusted Advisor insights to make data-driven decisions using Amazon Q Business
In this post, we show how to create an application using Amazon Q Business with Jira integration that used a dataset containing a Trusted Advisor detailed report. This solution dem...
Data Science Central
5 challenges in implementing AI in video surveillance
Artificial intelligence (AI) makes security cameras more versatile and useful. It can recognize suspicious behavior in real time, monitor video feeds to mitigate labor shortages an...
New Book: 0 and 1 – From Elemental Math to Quantum AI
Quantum systems, dynamical systems, chaos, universal synthetic dataset, scientific computing, Python, self-iterated convolutions
The power of distributed data management for edge computing architectures
Organizations that embrace distributed edge data management will be better positioned to drive innovation.
How to design LLMs that don’t need prompt engineering
How to Design LLMs that Don't Need Prompt Engineering. Embeddings. Relevancy scores. LLM 2.0. Bonding AI. xLLM. Model evaluation.
From raw data to real-time insights: Building high-speed data pipeline diagrams
Data pipeline diagrams function as blueprints that transform unprocessed data into useful information.
How AI is redefining e-commerce experiences through data-driven design
In the evolving landscape of e-commerce, artificial intelligence (AI) has emerged as a transformative force—reshaping digital shopping.
How generative AI is reshaping traditional QA strategies
Software development cycles accelerate constantly, pushing quality assurance teams to keep pace. However, the pressure engineering leaders face to ensure quality under the speed an...
Geometric deep learning: AI beyond text & images
Discover how Geometric Deep Learning revolutionizes AI by processing complex, non-Euclidean data structures, enabling breakthroughs in drug discovery, 3D modeling, and network anal...
What’s wrong with data-based decision-making?
Why data-based decision-making sometimes fails? Learn from real-world examples and discover practical steps to avoid common pitfalls in data interpretation, processing, and applica...
Mathematical optimization for AI
Episode 22 – Mathematical Optimization for AI | AI Think Tank PodcastDiscover how mathematical optimization is transforming artificial intelligence, machine learning, and real-worl...
BigDATAwire
The Data Hat Trick: Three Winning Plays for AI-Ready Data
If you’ve ever watched a hockey game, you know that a hat trick—scoring three goals in a single game—is a major feat. It requires precision, teamwork, and
Anaconda Simplifies Open Source Python Stack with AI Platform Launch
Anaconda today unveiled the AI Platform, a new flagship offering that provides a standardized user experience that should be easier to administer. The
SuperAnnotate and the Quest for Superior AI Training Data
If data is the source of AI, then it follows that the best data creates the best AI. But where does one find ultra high-quality data? According to the
BigID Deepens Its AI-Driven Capabilities for Enterprise Privacy and Compliance
As data privacy faces relentless scrutiny, companies are racing to modernize their compliance strategies and adopt technologies that can manage risk at
Neo4j Promises ‘No More ETL’ with Aura Graph Analytics
Neo4j this week launched Aura Graph Analytics, a new offering designed to lower the barrier to using powerful graph algorithms. Neo4j says Aura Graph
SAS Rolls Out AI Agents, Digital Twins, and Industry Models at Innovate 2025
At its SAS Innovate 2025 conference in Orlando, SAS rolled out a series of updates aimed at helping businesses make better decisions with AI. The
Colossus AI Hits 200,000 GPUs as Musk Ramps Up AI Ambitions
Elon Musk's Colossus AI infrastructure, said to be one of the most powerful AI computing clusters in the world, has just reached full operational
Vendors Rush to Adopt MCP, the USB-C Cord for AI Integration
When Anthropic unveiled Model Context Protocol (MCP) last fall, it didn’t make a whole lot of headlines. Nearly six months later, the new protocol is the
Open Source AI Gets a Boost as IBM Hands Over Key Projects to Linux Foundation
The open AI movement gains momentum with IBM’s latest contribution. The Linux Foundation has welcomed three new AI projects contributed by Big Blue into
Ambari Hadoop Cluster Manager is Back on the Elephant
The term "Hadoop Cluster" can have many meanings. In the most simple sense, it can refer to the core components: HDFS (Hadoop Distributed FileSystem),
Crunchbase News
DFJ Growth Closes $1.2B Flagship Fund
Venture investor DFJ Growth announced it has raised $1.2 billion for a fifth flagship fund, its largest to date.
The Immigrant Edge: How Foreign-Born Entrepreneurs Drive America’s Unicorn Boom
Nearly half of America's billion-dollar startups were founded by people born outside the United States. In this guest commentary Ilya Strebulaev shares research from Stanford's Ven...
How Fintech Is Revolutionizing Access To Capital For Startups And Entrepreneurs
As traditional banking models struggle, fintech startups are stepping in to redefine accessibility in financial services. In this guest commentary, Yaacov Martin, CEO of The Jifiti...
Florida Funding Falls
Despite what boosters may have envisioned amid a pandemic-era spike in migration to Florida a few years ago, the Sunshine State is not emerging as a startup hotbed.
The 30-Year Unicorn Backlog
If the current pace of exits persists, it would take 30 years for every U.S. company on The Crunchbase Unicorn Board to go public or be acquired. While it may sound disheartening, ...
From Posts To Profits: Why Creators Are The New Entrepreneurs Investors Can’t Ignore
Creators are no longer seen as just influencers, they are identified as real business owners who build scalable operations and attract weighty capital, writes guest author Murad Sa...
The Crunchbase Tech Layoffs Tracker
Tech layoffs: At least 95,000 workers at U.S.-based tech companies were laid off in mass job cuts in 2024 and the cuts have continued into 2025.
The Week’s Biggest Funding Rounds: Anysphere, Wonder Raise Massive Rounds
It was a good week for startups looking to raise big, as two companies raised rounds of well more than a half-billion dollars. While it’s not surprising AI led the way, other norma...
Is Location Still Relevant for Success? How To Build A Business Outside Your Target Market
Today, location has increasingly become just another detail for businesses, not a dealbreaker, argues Augment co-founder and CEO Ariel Renous. In this guest commentary he explains ...
Looking Back 10 Years, Seed Investors Envisioned A Different Future Unfolding
Reviewing old seed funding data is a lot like going into the past to see what people thought the future would look like. Going back roughly 10 years ago, it seems OpenAI was the co...
Quanta Magazine
Introducing The Quanta Podcast
Exploring the distant universe, the insides of cells, the abstractions of math, the complexity of information itself and much more, The Quanta Podcast will be a tour of the frontie...
The Fastest Way Yet to Color Graphs
Researchers have devised a scheme for painting the edges of a graph that’s almost as speedy as possible.
Finding Beauty and Truth in Mundane Occurrences
The physicist Sidney Nagel delights in solving mysteries of the universe that are hiding in plain sight.
The Molecular Bond That Helps Secure Your Memories
How do memories last a lifetime when the molecules that form them turn over within days, weeks or months? An interaction between two proteins points to a molecular basis for memory...
Dimension 126 Contains Strangely Twisted Shapes, Mathematicians Prove
A new proof represents the culmination of a 65-year-old story about anomalous shapes in special dimensions.
Neural Networks, Deep Learning and Machine Learning
How can I shut down the brain implant without a device
METACOG-25 Introduction
[Hiring] [Remote] [India] - Associate & Sr. AI/ML Engineer
Ay sources like the YouTube channel 3Blue1brown to learn more about GNN's? I am not a tech/math guy so I won't be able to comprehend super detailed content, I just want to understand these concepts.
Continuous Thought Machines
Can I realistically learn and use GNNs for a research project in 6–8 months?
"LLM Analysis Tool" (BECON) analysis tool you've developed for Large Language Models!
i call it becon
PQNS Neural Network
Spent the last month building a platform to run visual browser agents, what do you think?
NVIDIA Blog
How Reasoning AI Agents Transform High-Stakes Decision Making
Thanks to reasoning AI models, agents can learn how to think critically and tackle complex tasks.
NVIDIA Partners Showcase Cutting-Edge Robotic and Industrial AI Solutions at Automate 2025
As the manufacturing industry faces challenges — such as labor shortages, reshoring and inconsistent operational strategies — AI-powered robots present a significant opportunity to...
NVIDIA Scores COMPUTEX Best Choice Awards
NVIDIA today received multiple accolades at COMPUTEX’s Best Choice Awards, in recognition of innovation across the company. The NVIDIA GeForce RTX 5090 GPU won the Gaming and Enter...
Wildfire Prevention: AI Startups Support Prescribed Burns, Early Alerts
Artificial intelligence is helping identify and treat diseases faster with better results for humankind. Natural disasters like wildfires are next. Fires in the Los Angeles area ha...
LM Studio Accelerates LLM Performance With NVIDIA GeForce RTX GPUs and CUDA 12.8
Latest release of the desktop application brings enhanced dev tools and model controls, as well as better performance for RTX GPUs.
Join the Family: GeForce NOW Welcomes 2K’s Acclaimed ‘Mafia’ Franchise to the Cloud
Stream 2K's 'Mafia' franchise as part of 9 games to get ready for the launch of 'Mafia: The Old Country' on GeForce NOW.
Cadence Taps NVIDIA Blackwell to Accelerate AI-Driven Engineering Design and Scientific Simulation
Cadence’s Millennium M2000 Supercomputer integrates NVIDIA accelerated computing hardware and software for semiconductor design, digital twin simulations, drug discovery and more.
NVIDIA’s Rama Akkiraju on How AI Platform Architects Help Bridge Business Vision and Technical Execution
Rama Akkiraju, vice president of IT for AI and machine learning at NVIDIA, highlights the importance of building for today's functionality while ensuring future flexibility.
Your Service Teams Just Got a New Coworker — and It’s a 15B-Parameter Super Genius Built by ServiceNow and NVIDIA
ServiceNow is accelerating enterprise AI with a new reasoning model built in partnership with NVIDIA — enabling AI agents that respond in real time, handle complex workflows and sc...
NVIDIA Experts Share Top 5 Tips for Standing Out in the AI Job Market
As artificial intelligence advances at unparalleled speeds, it’s an exciting, opportune time to kickstart a career in the industry. At the NVIDIA GTC global AI conference in March,...
ΑΙhub
Interview with Ananya Joshi: Real-time monitoring for healthcare data
AI-powered robots help tackle Europe’s growing e-waste problem
Interview with Onur Boyar: Drug and material design using generative models and Bayesian optimization
2025 AI Index Report
#AAAI2025 outstanding paper – DivShift: Exploring domain-specific distribution shift in large-scale, volunteer-collected biodiversity datasets
Defending against prompt injection with structured queries (StruQ) and preference optimization (SecAlign)
Forthcoming machine learning and AI seminars: May 2025 edition
Automation applied to technical drawings in industry: Interview with Vasil Shteriyanov
Competition open for images of “digital transformation at work”
AIhub monthly digest: April 2025 – aligning GenAI with technical standards, ML applied to semiconductor manufacturing, and social choice problems
AI
Helping startups build what’s next with the AI Futures Fund
The AI Futures Fund is a new initiative from Google that invests in and works with startups.
What you missed at our record-breaking GenAI Intensive course
Google and Kaggle’s Gen AI Intensive course, had more than 280,000 signups in just 20 days.
How we're using AI to drive scientific research with greater real-world benefit
Google Research teams are using AI to address fundamental scientific questions and advance research across disciplines from quantum computing to genomics and neuroscience.
Google Research and ISTA are using light microscopes to “map” the brain.
For more than a decade, Google Research has been using AI to precisely map the connections between every cell in the brain in an endeavor called connectomics. Now, in co…
The latest AI news we announced in April
Here are Google’s latest AI updates from April 2025
Use AI to understand complex text online with Simplify, now on the Google app for iOS.
When you're trying to learn about something new on the web, you might come across content that uses jargon or technical concepts you're not familiar with. Simplify, a ne…
Preparing Asia Pacific’s workforce for the AI future
We’re introducing the first 49 recipients of the Google.org AI Opportunity Fund: Asia-Pacific and announcing the Fund’s expansion by $12 million.
15 startups using AI to protect, restore and conserve nature
Learn more about the startups chosen for Google for Startups Accelerator: AI for Nature.
Listen to a podcast deep dive on long context in Gemini models.
The latest episode of the Google AI: Release Notes podcast focuses on long context in Gemini — meaning how much information our AI models can process as input at once — …
New ways to interact with information in AI Mode
Anyone in the U.S. can now get immediate access to AI Mode in Labs.
deepcognition.ai
De Minimis Is Fading, and AI Is Your Lifeline
The flood of full customs entries has started, and AI is the only way for customs brokers to keep up. It handles the prep work, so your team can focus on what only brokers can do. ...
Beyond Paperwork: How Automation Transforms Customs Brokerage and Freight Forwarding
Walk into any bustling freight forwarding or customs brokerage office, and you’ll witness the daily onslaught of commercial invoices, bills of lading and packing lists. The deadlin...
Empowering, Not Replacing: How AI-Powered Data Entry Enhances Your Team’s Capabilities
AI is not here to take your job but to eliminate bottlenecks and enhance your capabilities by automating repetitive, time-consuming data entry tasks.
Start Smart With AI: Why Document Automation Is the Ideal First Step for Enterprises
Document automation increases workflow efficiency and reduces the likelihood of errors. Discover more benefits of automation.
How AI-Powered Commercial Invoice Automation Streamlines Your Business
Discover how AI invoice automation reduces errors, speeds up processing times and streamlines operations for businesses in the freight forwarding and customs brokerage industry.
Elevate Your Business Operations With Unrivaled Document Automation
Discover how AI-powered document automation can streamline workflow and revolutionize business operations.
How To Stay Competitive and Future-Proof Your Business by Leveraging AI
AI is transforming the way we do business. Here's how you can integrate AI-driven innovation into your operations and stay ahead of the competition.
AI-Assisted Data Entry: How the Modern Customs Broker Stays Competitive in the Digital Age
Discover how freight forwarders and customs brokers can leverage AI data entry to provide better services and further business goals.
Introducing the All-New Deep Cognition Website
Discover the redesigned Deep Cognition website with improved navigation, new features, and resources for AI-based solutions. Visit now!
How Can Data Entry Automation Increase Your ROI in 2024?
Digitally transform your manual data entry processes and find out how it can help increase your ROI in 2024. Read our blog to find out more
Microsoft Research
Predicting and explaining AI model performance: A new approach to evaluation
ADeLe, a new evaluation method, explains what AI systems are good at—and where they’re likely to fail. By breaking tasks into ability-based requirements, it has the potential to pr...
Abstracts: Heat Transfer and Deep Learning with Hongxia Hao and Bing Lv
Thermal conductivity is critical in modern electronics, but in a post-Moore’s Law world, the need for novel structures that surpass the heat transfer properties of silicon is essen...
Research Focus: Week of May 7, 2025
In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semanti...
Microsoft Fusion Summit explores how AI can accelerate fusion research
The first Microsoft Research Fusion Summit brought together global experts to explore how AI can help unlock the potential of fusion energy. Discover how collaborations with leadin...
Abstracts: Societal AI with Xing Xie
New AI models are not only changing the pace of AI research, but they’re also poised to impact society. Learn more about how Microsoft Research is exploring the societal impact of ...
Societal AI: Building human-centered AI systems
Learn about a new white paper on Societal AI, an interdisciplinary framework for guiding AI development that reflects shared human values. It presents key research challenges and e...
Laws, norms, and ethics for AI in health
In Episode 4 of “The AI Revolution in Medicine, Revisited,” guests Laura Adams, Vardit Ravitsky, and Dr. Roxana Daneshjou explore how to responsibly implement AI in medicine, from ...
Research Focus: Week of April 21, 2025
In this issue: our CHI 2025 & ICLR 2025 contributions, plus research on causal reasoning & LLMs; countering LLM jailbreak attacks; and how people use AI vs. AI-alone. Also, SVP of ...
The Future of AI in Knowledge Work: Tools for Thought at CHI 2025
Join us at CHI 2025 to explore how AI systems can be used as Tools for Thought as we reimage AI’s role in human thinking. Learn about new research, prototypes, and a workshop on de...
Empowering patients and healthcare consumers in the age of generative AI
In Episode 3 of “The AI Revolution in Medicine, Revisited,” guests Dave deBronkart and Christina Farr discuss the growing role of AI in supporting more engaged patients and the evo...
Robot Writers AI
ChatGPT’s Workhorse AI Engine Still Solid Choice
While ChatGPT-4o remains formidable, some problems are cropping up with experimental models.
Gone Fishin’
RobotWritersAI.com is playing hooky. We'll be back May 5, 2025 with fresh news and analysis on the latest in AI-generated writing.
Google AI Offers Free Ride for College Students
Google is offering U.S. college students a one-year free ride on Google One AI Premium
For Writers, ChatGPT-4o Still the Best AI Engine
Despite a flurry of new AI engines just released by OpenAI, the current default --ChatGPT-4o – is still best for writers.
ChatGPT Free for Millions of College Students
College students in the U.S. and Canada now have a standing invitation to try ChatGPT-Plus -- normally $20/month -- gratis.
Top Ten Stories in AI Writing: Q1, 2025
Top Ten Stories in AI Writing, Q1, 2025
ChatGPT’s New AI Image-Maker: ‘Astounding’
ChatGPT’s new AI-image generator – perfect for writers looking to add supplemental images to their copy -- has become a viral sensation across the Web.
ChatGPT: The Great Equalizer
New research from Stanford University reveals that ChatGPT and similar AI writers are surprisingly popular among the less-educated.
The Number One Users of ChatGPT: Students
ChatGPT-Maker’s CEO Sam Altman just disclosed an eye-opening revelation: Most of the people who are using ChatGPT are students.
New ChatGPT-4.5 Leads the Pack
The Economic Times reports that the latest upgrade to ChatGPT -- ChatGPT-4.5 -- is the best-in-class.
AI Accelerator Institute
How to build a powerful LLM user feedback loop
Discover how to build a powerful LLM user feedback loop with Nebuly, optimizing AI interactions and driving continuous improvement.
IBM & Oracle debut watsonx agentic AI on OCI
Take a look at IBM & Oracle’s watsonx Orchestrate and Granite AI on OCI for autonomous AI workflows with low‑code automation.
Optimizing LLM performance and output quality
The session focuses on enhancing outcomes for customers and businesses by optimizing the performance and output quality of generative AI.
AI-driven admin analytics: Tackling complexity, compliance, and customization
This article explores the traditional pain points of admin reporting and highlights how AI-powered tools are revolutionizing this domain.
Rewiring the internet: Commerce in the age of AI agents
It's now easier than ever to envision a future where ChatGPT seamlessly navigates the web and handles complex operations for us.
How generative AI is revolutionizing drug discovery and development
Discover how generative AI is transforming drug discovery, medical imaging, and patient outcomes to accelerate advancements with AstraZeneca
How AI is transforming financial modeling & sales forecasting in enterprise tech
This article examines how AI is transforming financial modeling and sales forecasting, helping finance teams have proactive operations.
The great web rebuild: Infrastructure for the AI agent era
AI agents require rethinking trust, authentication, and security—see how Agent Passports and new protocols will redefine online interactions.
AIOps in action: AI & automation transforming IT operations
AIOps leverages AI analytics, proactive monitoring, and automation to optimize IT operations, reduce downtime, and boost business efficiency.
The truth about enterprise AI agents (and how to get value from them)
Build enterprise AI agents that do more than chat – cut friction, boost workflows, and turn LLMs into business tools that deliver.
Blog | DataRobot
Simplifying secure on-prem AI with Nutanix and DataRobot
Learn how Nutanix and DataRobot secure on-prem AI with a fully integrated platform built for regulated industries and agentic AI apps.
How to avoid hidden costs when scaling agentic AI
Hidden costs can quietly derail your agentic AI strategy. Discover what to watch for—and how to scale with cost efficiency and control.
Forecast demand with precision using advanced AI for SAP IBP
Enhance SAP IBP with AI-driven demand forecasting. See how the Demand Planning App improves accuracy, reduces stockouts, and drives smarter decisions.
Why LLM hallucinations are key to your agentic AI readiness
AI hallucinations are the hidden cost drivers and risk factors in agentic AI workflows. Discover what they signal about your AI readiness.
The enterprise path to agentic AI
Feeling the pressure to adopt agentic AI? Learn how to scale safely through the evolving stages and avoid costly mistakes along the way.
DataRobot with NVIDIA: The fastest path to production-ready AI apps and agents
Deploy agentic AI faster with DataRobot and NVIDIA AI Enterprise. Learn how to develop and deliver apps that solve complex use cases.
Talk to My Data: Instant, explainable answers with agentic AI
Learn how to seamlessly integrate generative AI and agentic AI into your decision-making process. Discover Talk to My Data.
Why AI leaders can’t afford the cost of fragmented AI tools
Fragmented AI tools inflate costs and hinder efficiency. Learn how interoperable solutions improve workflows while reducing expenses.
Improving cash flow: The AI advantage in financial forecasting
Learn how AI-driven forecasting helps CFOs improve cash flow, reduce borrowing, and ensure better cash flow management.
What misbehaving AI can cost you
AI security gaps drive up costs and risk. Learn how AI governance and risk-proofing strategies help control spend and strengthen security.
Big Data – SiliconANGLE
Big-data company Informatica’s stock falls on mixed results and soft guidance
Big-data company Informatica's stock falls on mixed results and soft guidance - SiliconANGLE
Amplitude shares tick up after earnings results slightly beat estimates
Amplitude shares tick up after earnings results slightly beat estimates - SiliconANGLE
Bank of Montreal transforms customer decisions with FICO’s AI-driven platform
Customer engagement is optimized through FICO's decision management platform, helping BMO deliver personalized, data-driven financial experiences.
Neo4j goes serverless, bringing graph analytics to any data source
Neo4j goes serverless, bringing graph analytics to any data source - SiliconANGLE
OpenSearch revs up AI workloads with GPU-accelerated vector search
OpenSearch revs up AI workloads with GPU-accelerated vector search - SiliconANGLE
Palantir shares dip despite Q1 revenue beat and raised full-year outlook
Palantir shares dip despite Q1 revenue beat and raised full-year outlook - SiliconANGLE
Astronomer nabs $93M for its data pipeline platform
Astronomer nabs $93M for its data pipeline platform - SiliconANGLE
Fivetran to acquire Census to extend platform with reverse ETL and data activation
Fivetran to acquire Census to extend platform with reverse ETL and data activation - SiliconANGLE
StarTree boosts AI agent support in its real-time analytics platform
StarTree boosts AI agent support in its real-time analytics platform - SiliconANGLE
Acceldata can now spot data anomalies across multiple dimensions
Acceldata can now spot data anomalies across multiple dimensions - SiliconANGLE
Deeptech - Tech.eu
Former NATO Secretary backs Final Frontier's defencetech Fund
Embargo 13/5 8am GMT: Dutch Imaging Startup Eyeo Raises €15M to Commercialize Revolutionary Color-Splitting Sensor Technology
British compute sector surged ahead in 2024, report shows
Lightsonic raises €3.3M Seed to scale fiber optic sensing for infrastructure
TEKEVER becomes the latest unicorn in Europe's defencetech industry
Quantum Systems raises €160M for AI-powered aerial intelligence
Lilium’s financial collapse triggers CustomCells insolvency at core German sites
TEKEVER to invest £400M in UK defencetech, creating 1,000+ skilled jobs
Arondite secures $10M to strengthen human-machine cooperation in defence
Daiser partners with UK government's EdgeAI hub
Google DeepMind Blog
Gemini 2.5 Pro Preview: even better coding performance
Explore the new Gemini 2.5 Pro I/O Edition, featuring enhanced coding performance, video to code capabilities, and improvements for front-end web development.
Build rich, interactive web apps with an updated Gemini 2.5 Pro
Our updated version of Gemini 2.5 Pro has improved capabilities for coding.
Music AI Sandbox, now with new features and broader access
Google has long collaborated with musicians, producers, and artists in the research and development of music AI tools. Ever since launching the Magenta project, in 2016, we’ve been...
Introducing Gemini 2.5 Flash
Gemini 2.5 Flash, is now in preview, offering improved reasoning while prioritizing speed and cost efficiency for developers.
Generate videos in Gemini and Whisk with Veo 2
You can now generate videos in Gemini, powered by Veo 2.
DolphinGemma: How Google AI is helping decode dolphin communication
Dolphin researchers are using Gemma and Google Pixel phones to try to decipher how dolphins talk to one another.
Taking a responsible path to AGI
Evaluating potential cybersecurity threats of advanced AI
Gemini 2.5: Our most intelligent AI model
Gemini 2.5 is our most intelligent AI model, now with thinking.
Gemini Robotics brings AI into the physical world
Introducing Gemini Robotics and Gemini Robotics-ER, AI models designed for robots to understand, act and react to the physical world.
Lex Fridman Podcast
#468 – Janna Levin: Black Holes, Wormholes, Aliens, Paradoxes & Extra Dimensions
Janna Levin is a theoretical physicist and cosmologist specializing in black holes, cosmology of extra dimensions, topology of the universe, and gravitational waves. Thank you for ...
#467 – Tim Sweeney: Fortnite, Unreal Engine, and the Future of Gaming
Tim Sweeney is a legendary video game programmer, founder and CEO of Epic Games that created the Unreal Engine, Fortnite, Gears of War, Unreal Tournament, and many other groundbrea...
#466 – Jeffrey Wasserstrom: China, Xi Jinping, Trade War, Taiwan, Hong Kong, Mao
Jeffrey Wasserstrom is a historian of modern China. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep466-sc See below for timestamps, transcript,...
#465 – Robert Rodriguez: Sin City, Desperado, El Mariachi, Alita, and Filmmaking
Robert Rodriguez is a legendary filmmaker and creator of Sin City, El Mariachi, Desperado, Spy Kids, Machete, From Dusk Till Dawn, Alita: Battle Angel, The Faculty, and his newest ...
#464 – Dave Smith: Israel, Ukraine, Epstein, Mossad, Conspiracies & Antisemitism
Dave Smith is a comedian, libertarian, political commentator, and the host of Part of the Problem podcast. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/...
#463 – Douglas Murray: Putin, Zelenskyy, Trump, Israel, Netanyahu, Hamas & Gaza
Douglas Murray is the author of On Democracies and Death Cults, The War on The West, and The Madness of Crowds. Thank you for listening ❤ Check out our sponsors: https://lexfridman...
#462 – Ezra Klein and Derek Thompson: Politics, Trump, AOC, Elon & DOGE
Ezra Klein is one of the most influential voices representing the left-wing of American politics. He is a columnist for the NY Times and host of The Ezra Klein Show. Derek Thompson...
#461 – ThePrimeagen: Programming, AI, ADHD, Productivity, Addiction, and God
ThePrimeagen (aka Michael Paulson) is a programmer who has educated, entertained, and inspired millions of people to build software and have fun doing it. Thank you for listening ❤...
#460 – Narendra Modi: Prime Minister of India – Power, Democracy, War & Peace
Narendra Modi is the Prime Minister of India. On YouTube this episode is available in English, Hindi, Russian (and soon other languages). Captions and voice-over audio tracks are p...
#459 – DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters
Dylan Patel is the founder of SemiAnalysis, a research & analysis company specializing in semiconductors, GPUs, CPUs, and AI hardware. Nathan Lambert is a research scientist at the...
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
Nanonets Blog | AI Document Processing & Workflow Automation
Medical record automation: How a leading underwriting provider transformed their document review process
See how intelligent automation helped a leading underwriter process medical records faster, free up doctors’ time, and streamline life expectancy calculations.
Back office automation for insurance companies: A success story
See how AI automation slashed insurance claim processing times, saved millions, and turned regulatory pressure into a competitive advantage.
Supplier order management: How a furniture retailer automated order confirmation processing
See how AI-powered document processing helped them cut 70+ hours weekly, eliminate errors costing €144,000+ annually, and enabled automated customer updates—all without expanding s...
How to automate data extraction in healthcare: A quick guide
Slash healthcare admin costs, eliminate manual data entry, and process documents in seconds. Learn how automated data extraction in healthcare works.
How Small Law Firms Can Compete with Bigger Firms Using Automation
Estate planning bottlenecks? See how small law firms use Nanonets to automate workflows and save 40+ hours a week—no IT needed.
Why Manual Data Entry Is Killing Estate Planning Productivity
Drowning in estate planning paperwork? Learn how firms automate document processing to save time, cut errors, and boost productivity.
Identifying the Best OCR API: Benchmarking OCR APIs on Real-World Documents
This article provides an objective, data-driven benchmarking comparison that helps developers and enterprises choose the best OCR API for their needs.
How a BPO hit SLAs for high-volume invoicing with automation
From 100 invoices per day to 173 in 5 minutes. Learn how an expense management provider grew operations, slashed costs, and improved client experience with automated bulk invoice p...
How to prevent order discrepancy with automated PO-SO matching
Explore how a distributor automated verification of sales orders against purchase orders to reduce discrepancies. Learn about its impact on cash flow and fulfillment.
Unlocking the Full Cycle: Why Accounts Receivable Automation Complements Your AP Strategy
By complementing AP automation with AR automation, businesses can achieve a seamless, integrated approach to financial management that maximizes cash flow, efficiency, and strategi...
MachineLearningMastery.com
Building RAG Systems with Transformers
Let’s Build a RAG-Powered Research Paper Assistant
10 Must-Know Python Libraries for Machine Learning in 2025
Understanding Text Generation Parameters in Transformers
Further Applications with Context Vectors
Building a RAG Pipeline with llama.cpp in Python
Detecting & Handling Data Drift in Production
Quantization in Machine Learning: 5 Reasons Why It Matters More Than You Think
Applications with Context Vectors
Generating and Visualizing Context Vectors in Transformers
TOPBOTS
The AI Agent Race Heats Up: Who’s Leading in 2025?
Explore the top AI agent companies of 2025 – including OpenAI, Google, Microsoft, Anthropic, Amazon, and startups like Monica – driving the future of autonomous digital agents thro...
How Do LLMs Think? 5 Approaches Powering the Next Generation of AI Reasoning
The answer lies in a constellation of new techniques that transform LLMs into more methodical thinkers. Here's a look at five of the most influential strategies pushing reasoning L...
Injecting Domain Expertise Into Your AI System
Domain experts can help you connect the dots between the technicalities of an AI system and its real-life usage and value. Thus, they should be key stakeholders and co-creators of ...
Beyond DeepSeek: An Overview of Chinese AI Tigers and Their Cutting-Edge Innovations
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?
Humanoid Robots on the Rise: Industry Advances, Key Players, and Adoption Timelines
Accelerate Your AI Skills: Essential Generative AI Courses for Developers
The Berkeley Artificial Intelligence Research Blog
Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
Repurposing Protein Folding Models for Generation with Latent Diffusion
Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment
Virtual Personas for Language Models via an Anthology of Backstories
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark
Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks Benchmark!
TinyAgent: Function Calling at the Edge
Modeling Extremely Large Images with xT
2024 BAIR Graduate Directory
VITALab
Simplifying Deep Temporal Difference Learning
tl;dr The authors propose PQN, a simplified deep online Q-Learning that uses very small replay buffers. Normalization and parallelized sampling from vectoriz...
EchoPrime: Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
Objective EchoPrime is a foundation model designed for comprehensive echocardiographic interpretation. Unlike previous models that use single views or static...
DeepSeek-V3 Technical Report
DeepSeek-V3
Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting
Highlights
Implicit neural representations
Implicit neural networks
Foundations of diffusion networks
Diffusion networks As there’s a lot of recent developments around image generation and diffusion models in general, I took a deep dive in the fundamentals of...
EchoNarrator: Generating natural text explanations for ejection fraction predictions
Introduction
Retrieval Augmented Generation with Knowledge Graphs
Quick Summary GraphRAG is RAG where the retrieval path utilizes a knowledge graph. It improves the comprehensiveness and diversity of answers compared to RAG...
Some recent activation functions mimicking ReLU
Activation functions play a critical role in deep learning, influencing how models learn and generalize. Below is a description of the relationships between ...
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Highlights
Jay Alammar
Moving To Substack
I’m freezing this blog and starting to post on my Substack instead. The authoring experience is much more convenient for me there. Please follow me there, and check out The Illustr...
Generative AI and AI Product Moats
Here are eight observations I’ve shared recently on the Cohere blog and videos that go over them.: Article: What’s the big deal with Generative AI? Is it the future or th...
Remaking Old Computer Graphics With AI Image Generation
Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my ch...
The Illustrated Stable Diffusion
Translations: Chinese, Vietnamese. (V2 Nov 2022: Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the ...
Applying massive language models in the real world with Cohere
A little less than a year ago, I joined the awesome Cohere team. The company trains massive language models (both GPT-like and BERT-like) and offers them as an API (which also supp...
The Illustrated Retrieval Transformer
Discussion: Discussion Thread for comments, corrections, or any feedback. Translations: Korean, Russian Summary: The latest batch of language models can be much smaller yet ac...
Explainable AI Cheat Sheet
Introducing the Explainable AI Cheat Sheet, your high-level guide to the set of tools and methods that helps humans understand AI/ML models and their predictions. I introduce t...
Finding the Words to Say: Hidden State Visualizations for Language Models
By visualizing the hidden state between a model's layers, we can get some clues as to the model's
Interfaces for Explaining Transformer Language Models
Interfaces for exploring transformer language models by looking at input saliency and neuron activation. Explorable #1: Input saliency of a list of c...
How GPT3 Works - Visualizations and Animations
Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Korean, Chinese (Simplified), Russian, Turkish The ...
Future of Life Institute
Are we close to an intelligence explosion?
AIs are inching ever-closer to a critical threshold. Beyond this threshold lie great risks—but crossing it is not inevitable.
The Impact of AI in Education: Navigating the Imminent Future
What must be considered to build a safe but effective future for AI in education, and for children to be safe online?
Context and Agenda for the 2025 AI Action Summit
The AI Action Summit will take place in Paris from 10-11 February 2025. Here we list the agenda and key deliverables.
A Buddhist Perspective on AI: Cultivating freedom of attention and true diversity in an AI future
The AI-facilitated intelligence revolution is claimed by some to be setting humanity on a glidepath into utopian futures of nearly effortless satisfaction and frictionless choice. ...
Could we switch off a dangerous AI?
New research validates age-old concerns about the difficulty of constraining powerful AI systems.
Paris AI Safety Breakfast #4: Rumman Chowdhury
The fourth of our 'AI Safety Breakfasts' event series, featuring Dr. Rumman Chowdhury on algorithmic auditing, "right to repair" AI systems, and the AI Safety and Action Summits.
AI Safety Index Released
The Future of Life Institute has released its first safety scorecard of leading AI companies, finding many are not addressing safety concerns while some have taken small initial st...
Why You Should Care About AI Agents
Powerful AI agents are about to hit the market. Here we explore the implications.
Max Tegmark on AGI Manhattan Project
A new report for Congress recommends that the US start a "Manhattan Project" to build Artificial General Intelligence. To do so would be a suicide race.
FLI Statement on White House National Security Memorandum
Last week the White House released a National Security Memorandum concerning AI governance and risk management. The NSM issues guidance […]
Blog - neptune.ai
How to Build an LLM Agent With AutoGen: Step-by-Step Guide
In this article we’ll introduce the fundamental building blocks of LLM agents and then walk through the process of building one from scratch.
Bayesian Deep Learning is Needed in the Age of Large-Scale AI [Paper Reflection]
In particular, we point out that there are many other metrics beyond accuracy, such as uncertainty calibration, which we have to take into account to ensure that better models also...
Introduction to State Space Models as Natural Language Models
State Space Models (SSMs) have the potential to address one of the key challenges of transformers: scaling efficiently with sequence length.
Ethical Considerations and Best Practices in LLM Development
Ethical LLM development isn’t just about compliance—it’s about building trust and accountability with users and stakeholders.
Open LLMs are Necessary For Current Private Adaptations and Outperform Their Closed Alternatives [Paper Reflection]
Findings indicate that open LLMs can be adapted to private data without leaking information to 3rd parties, such as LLM providers and malicious users. Thus, they offer a strong pri...
Learnings From Teams Training Large-Scale Models: Challenges and Solutions For Monitoring at Hyperscale
During my talk at NeurIPS,  I broke down five key lessons learned from teams facing large-scale model training and monitoring.
Mixture of Experts LLMs: Key Concepts Explained
MoEs have faster training and better or comparable performance than dense LLMs on many benchmarks, especially in multi-domain tasks.
Hyperparameter Optimization For LLMs: Advanced Strategies
Due to their computational demands, traditional methods for optimizing hyperparameters, such as grid search, are impractical for LLMs.
Multimodal Large Language Models
This article discusses the core functionalities of MLLMs, their challenges, and potential for various ML/AI domains.
How to Build and Evaluate a RAG System Using LangChain, Ragas, and neptune.ai
Learn how to build a RAG system using LangChain, evaluate its performance with Ragas, and track experiments with neptune.ai.
Radiant Earth
Building Resilient Data Infrastructure
We know it's possible to build new data infrastructure, but we urgently need to figure out how to do so sustainably and ethically. Join us at CNG Conference and at Fed Geo Day as w...
Grant from Navigation Fund to Support Source Cooperative
We are happy to announce that Radiant Earth has received funding from The Navigation Fund to support development of Source Cooperative.
Grant from Splunk Social Impact
We are happy to announce that Radiant Earth has received funding from Splunk Social Impact.
The Importance of Farm Field Boundaries
An overview of our work with the Taylor Geospatial Engine to create a common way to share field boundary data at scale.
The State of Data at SatSummit 2024
Slides and speech given at the opening plenary of SatSummit 2024.
Cloud-Native Geo Pioneers in Earth Science: Honoring the 2024 Leading Women
In honor of International Women’s Day, we are pleased to announce the 2024 Leading Women in Earth Science - 10 women transforming how we access and work with vast geospatial datase...
Q&A with Mala Kumar, Our Newest Board Member
We are pleased to welcome Mala Kumar to our Board of Directors. In this Q&A profile, we talk with Mala about her career journey, joining our Board, and the intersections between te...
Unicorns, Show Ponies, and Gazelles
A few four-legged animal metaphors that explain how we’ve been building global data infrastructure to date and how we might do better in the future.
What is Source Cooperative?
An update on development of Source Cooperative and why we're building it.
Open Data for Governments in Africa
A pilot project to help agencies make sense of agricultural data collection and exchange through capacity building.
Blog - Singularity Weblog
Staying Sane in an Insane World
Staying sane is a daily practice. Discover seven practical strategies to stay sane, reclaim your clarity, and strengthen your resilience amid uncertainty.
IASEAI’25 vs. The AI Action Summit: Will AI Be Driven by Cooperation or Competition?
At IASEAI’25, experts called for AI safety and regulation, while the Paris Summit pushed for acceleration. Which path will shape the future?
“Conversations with the Future” Epilogue: Events Can Create the Future
Julie Danaylov reflects on the impact of live events in a digital age, sharing key takeaways from "Conversations with the Future" evening symposium.
Donald J. Robertson on How to Think Like Socrates in the Age of AI
Donald J. Robertson explores "How to Think Like Socrates," apply ancient wisdom to critical thinking and ethical challenges in the age of AI.
Dr. Jad Tarifi of Integral AI: “We Now Have All the Ingredients for AGI”
Jad Tarifi shares profound insights on AGI, revealing "we now have all the ingredients for AGI" while teasing a major announcement from Integral AI.
Jamelle Lindo on Emotional Intelligence in the Age of AI: Harness the Power of Emotion
Discover how emotional intelligence can guide us through rapid change as Jamelle Lindo helps us explore EQ in the age of AI.
HumAInity Is Genius, But Where’s the Wisdom?
There's no doubt that HumAInity has genius, but do we have enough wisdom? Are we merely clever, or are we truly wise?
Everything Has Changed, Yet Nothing Has Changed: Don’t Panic
Our duty stays the same: to be good people—citizens, parents, friends, neighbors, and professionals. Every day. Without excuse.
Conversations with the Future Symposium
I am co-organizing an intimately small in-person event on January 22nd, 2025, in Toronto's South Etobicoke area. Join us!
AI Matters. Character and Culture Matter More!
While AI is undeniably a transformative force shaping our civilization, our character and culture will ultimately define its impact.
Becoming Human: Artificial Intelligence Magazine - Medium
AGI in 2025 |Do you think what matters today will still matter in the coming months? TL;DR: No!
OpenAI, Sam Altman, Elon Musk, xAI, Anthropic, Gemini, Google, Apple… all these companies are racing to build AGI by 2025, and once achieved, it will be replicated by dozens of oth...
When Algorithms Dream of Photons: Can AI Redefine Reality Like Einstein?
In 1905, Albert Einstein published a paper on the photoelectric effect — a deceptively simple observation that light could eject electrons from metals. This work, which later won h...
Be Part of the AI Revolution at the Chatbot Conference Tomorrow!
Tomorrow, September 24, 2024, San Francisco will host one of the biggest global AI events of the year: the Chatbot Conference! Whether you’re passionate about artificial intelligen...
Join the Most-Awaited Chatbot Conference
The conference features a range of events designed to enrich attendees’ understanding of the chatbot industry: With upcoming events already lined up, now is the time to get involve...
Limited Time Offer: Get Your Exclusive Online Passes to the Chatbot Conference — Act Fast!
Exciting news ahead! With an incredible surge of enthusiasm, we're rolling out an exclusive Online Only option for this year's Chatbot Conference, kicking things off with an absolu...
Demystifying AI in the Water Industry
Water industry professionals explored the intersection of artificial intelligence (AI) and machine learning (ML) during a pre-conference workshop in Ocean City, Maryland yesterday,...
Building a Local Face Search Engine — A Step by Step Guide
In this entry (Part 1) we’ll introduce the basic concepts for face recognition and search, and implement a basic working solution purely in Python. At the end of the article you wi...
Understanding the cp Command in Bash
The cp command in Bash is used to copy files and directories from one location to another.. “Understanding the cp Command in Bash” is published by Javascript Jeep🚙💨 in Becoming Hum...
Save up to $400 on Your Conference Tickets!
Whether you’re a returning attendee or new to our community, this is the perfect chance to experience the future of AI and chatbot technology at a discounted rate. Simply go to the...
Why Apple Intelligence Might Fall Short of Expectations?
Explore potential pitfalls in Apple's ambitious AI vision, from privacy concerns to user experience challenges.
David Stutz
Some Lessons on Reviews and Rebuttals
Writing and responding to reviews is the bread and butter of any academic and especially in AI research, PhD students are confronted with both rather early compared to other displi...
Thoughts on Watermarking AI-Generated Content
Watermarking AI-generated content has the potential to address various problems that generative AI threatens to aggravate — misinformation, impersonation, copyright infringement, w...
Thoughts and Lessons for Planning Rater Studies in AI
With the goal of deploying generative AI systems, rater studies are becoming increasingly common and important. This means more and more researchers and engineers face the challeng...
Open-Sourcing Relabeled MedQA and Dermatology DDx Datasets
Dealing with rater disagreement is becoming more important in AI, especially for LLMs and in specialized domains such as health. In the past year, I helped open source two datasets...
Thinking About Research Ideas vs. Technology
In this article, I want to share some thoughts on the difference between research ideas and technology, particularly in machine learning. This distinction is have been contemplatin...
The Importance of Effectively Experimenting in an AI PhD
Engineering and running experiments are a key component of most PhDs in AI. While there are plenty of more theoretical topics that are often limited to smaller scale experimentatio...
FAQ for our Monte Carlo Conformal Prediction
Over the past months, I have given several talks about Monte Carlo conformal prediction and the problem of calibrating with uncertain ground truth, for example, stemming from annot...
Documenting your PhD — Keeping Track of Meetings, Experiments and Decisions
A PhD can be a difficult endeavour. While becoming an expert in tackling a specific problems, it is easy to lose track of things: Have I read this paper before? What was the paper ...
On NeurIPS’ High School Paper Track
The decision to have a separate High School Project Track at NeurIPS 2024 has sparked quite some controversy, with many prominent AI researchers debating pros and cons and personal...
Thoughts on Academia and Industry in Machine Learning Research
A recent conversation with Jay Shah on his podcast made me think more about career choices and the question of "academia vs. industry" after completing a PhD. Since finishing my Ph...
AI Weirdness
Minecraft with object impermanence
I generally am uninterested in generative AI that's too close to the real thing. But every once in a while there's a modern AI thing that's so glitchy and broken that it's strangel...
Bonus: In Which The Adventurer Attempts to Build a Website
AI Weirdness: the strange side of machine learning
Botober 2024
Back by popular demand, here are some AI-generated drawing prompts to use in this, the spooky month of October! Longtime AI Weirdness readers may recognize some of these. That's b...
Bonus: "Ignore all previous instructions" gets weirder
Add particular strings of nonsense-sounding characters to your request and LLM chatbots will do whatever you ask for. Chatbot output is fundamentally nothing like human conversatio...
An exercise in frustration
There's an anonymous facebook posting that's been making the rounds, in which a studio art director tried to hire AI prompters to make art, only to discover that they were complete...
Bonus: A unicorn goes downhill
AI Weirdness: the strange side of machine learning
Hidden 3D Pictures
Do you know those autostereograms with the hidden 3D pictures? Images like the Magic Eye pictures from the 1990s that look like noisy repeating patterns until you defocus your eyes...
Hidden sheep
AI Weirdness: the strange side of machine learning
Shaped like information
Hey look, it's a guide to basic shapes! Not only does it have the basic shapes like circle, tringle, hectanbie, and sqale, it also has some of the more advanced shapes like renstq...
Bonus: More shape shaped shapes
The image I shared in my main post isn't one of the more incorrect examples of DALL-E3 generated guides - it's actually one of the more correct ones. Here's another generated imag...
JMLR
Estimation of Local Geometric Structure on Manifolds from Noisy Data
Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python
Continuously evolving rewards in an open-ended environment
Recursive Causal Discovery
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
Variance-Aware Estimation of Kernel Mean Embedding
Scaling ResNets in the Large-depth Regime
A Comparative Evaluation of Quantification Methods
Salmon Run
Packaging ML Pipelines from Experiment to Deployment
As an ML Engineer, we are generally tasked with solving some business problem with technology. Typically it involves leveraging data assets ...
Trip Report - PyData Global 2024
I attended PyData Global 2024 last week. Its a virtual conference, so I was able to attend it from the comfort of my home, although presenta...
Using Knowledge Graphs to enhance Retrieval Augmented Generation
Retrieval Augmented Generation (RAG) has become a popular approach to harness LLMs for question answering using your own corpus of data. Typ...
Experiments with Prompt Compression
I recently came across Prompt Compression (in the context of Prompt Engineering on Large Language Models) on this short course on Prompt Com...
Table Extraction from PDFs using Multimodal (Vision) LLMs
Couple of weeks ago a colleague and I participated in an internal hackathon where the task was to come up with an interesting use case using...
Book Report: Pandas Workout
Unlike many Data Scientists, I didn't automatically reach for Pandas when I needed to analyze data. I came upon this discipline (Data Scien...
Finetuning RAGAS Metrics using DSPy
Last month, I decided to sign-up for the Google AI Hackathon , where Google provided access to their Gemini Large Language Model (LLM) and ...
Performance Analysis of Float vs Byte vs Binary Vectors on OpenSearch
I've been working on an application where, given an input string, the objective is to recommend an output string that is similar to the inpu...
KGC/HCLS 2024 Trip Report
I was at KGC (Knowledge Graph Conference) 2024 , which is happening May 6-10 at Cornell Tech . I was presenting (virtually) at their Health ...
Book Report: Machine Learning for Drug Discovery
Drug Discovery is a field where biochemists (and more recently computer scientists) turn ideas into potential medications. I first came acro...
Lil'Log
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 ...
Some Math behind Neural Tangent Kernel
Neural networks are well known to be over-parameterized and can often easily fit data with near-zero training loss with decent generalization performance on test dataset. Although ...
Posit AI Blog
Introducing mall for R...and Python
We are proud to introduce the {mall} package. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall}...
Introducing Keras 3 for R
We are thrilled to introduce {keras3}, the next version of the Keras R package. {keras3} is a ground-up rebuild of {keras}, maintaining the beloved features of the original while r...
News from the sparkly-verse
Highlights to the most recent updates to `sparklyr` and friends
Chat with AI in RStudio
Interact with Github Copilot and OpenAI's GPT (ChatGPT) models directly in RStudio. The `chattr` Shiny add-in makes it easy for you to interact with these and other Large Language...
Hugging Face Integrations
Hugging Face rapidly became a very popular platform to build, share and collaborate on deep learning applications. We have worked on integrating the torch for R ecosystem with Hug...
Understanding LoRA with a minimal example
LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning models that works by reducing the number of trainable parameters and enables efficient task switching. I...
GPT-2 from scratch with torch
Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate successor...
What are Large Language Models? What are they not?
This is a high-level, introductory article about Large Language Models (LLMs), the core technology that enables the much-en-vogue chatbots as well as other Natural Language Process...
safetensors 0.1.0
Announcing safetensors, a new R package allowing for reading and writing files in the safetensors format.
torch 0.11.0
torch v0.11.0 is now on CRAN. This release features much-enhanced support for executing JIT operations. We also amended loading of model parameters, and added a few quality-of-life...
Damian Bogunowicz - dtransposed
I Completed The David Goggins Challenge And Asked My Garmin How I Did
A Video Game that Pays: Lessons Learned from Working Remotely
Deep Dive into NeRF (Neural Radiance Fields)
Learning by Doing - the DeFi Quest (Part 2 out of 2)
Learning by Doing - the DeFi Quest (Part 1 out of 2)
So You Want to Study Computer Science (in Europe)?
Mixed Martial Maths - Simple Reasoning Tools For Complex Phenomena
Notes - Prisoners of Geography (Tim Marshall)
Robotic Assembly Using Deep Reinforcement Learning
Research Paper Summary - The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Seita's Place
My Faculty Application Experience
I spent roughly a year preparing, and then interviewing, for tenure-trackfaculty positions. My job search is finally done, and I am joining theUniversity of ...
Books Read in 2022
At the end of every year I have a tradition where I write summaries of thebooks that I read throughout the year. Unfortunately this year wasexceptionally bus...
Conference on Robot Learning 2022
The airplanes on display at the CoRL 2022 banquet.
The 2022 Robotics: Science and Systems Conference
A photo I took while at RSS 2022 in New York City, on the dinner cruise arranged by the conference.
The (In-Person) ICRA 2022 Conference in Philadelphia
A photo I took while at ICRA 2022 in Philadelphia. This is the
Two New Papers: Learning to Fling and Singulate Fabrics
The system for our IROS 2022 paper on singulating layers of cloth with tactile sensing.
A Plea to End Harassment
Scott Aaronson is a professor of computer science at UT Austin, where hisresearch area is in theoretical computer science. However, he may be more wellknown ...
My Paper Reviewing Load
This is a regularly updated post, last updated April 06, 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 ...
inFERENCe
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...
An information maximization view on the $\beta$-VAE objective
guest post with Dóra Jámbor [http://dorajambor.com/] This is a half-guest-post written jointly with Dóra, a fellow participant in a reading group where we recently discussed the o...
NEWS & BLOG - EDIA
ELG book now available
European Language Grid. A Language Technology Platform for Multilingual Europe.
Innovations, investments, and ROI: to make or to buy?
Embracing content agility is key. But what about the associated investments? Is it better for publishers to make or buy innovations?
After digitalisation comes automation: the publisher's best next step
What to do once you've embraced content agility and implemented digitalisation tools? Why is automation the publisher's best next step?
How to arrive at content agility: 3 stages of an agile process
The road towards content agility is rather agile in itself. It requires a brand-new approach. How to go from a linear to a modular view?
Why embracing content agility is key
Personalised learning requires content to be customisable — all the time. So, when it comes to educational content, content agility is key.
Content metadata: a recap on why you should really automate content labelling
Why are some types of labels particularly interesting to automate? And what's next for future-proof companies that have embraced automation?
Content metadata: the 'why' and 'what' of learning objectives tagging and automated labelling
What is learning objectives tagging? Why is it useful? And how will it benefit from automated labelling?
Content metadata: what automated labels can do for topic classification
What is topic classification? How does it differ from keyword extraction? And why will it benefit from automated labelling?
Content metadata: why keyword extraction requires automated labelling
What is keyword extraction? Why does it require automated labelling? And what are the benefits of automation?
Content metadata: automated labelling and the CEFR
What is the CEFR? Why and how should you use automated labelling? And what are the benefits of automation?
ML in Production
Driving Experimentation Forward through a Working Group (Experimentation Program Series: Guide 03)
We describe how diverse stakeholders can drive experimentation forward through the formation of a working group and what role data science plays.
What is an Experimentation program and Who is Involved? (Experimentation Program Series: Guide 02)
We define what an experimentation program is and discuss which stakeholder groups should participate in order to drive experimentation forward.
Building An Effective Experimentation Program (Experimentation Program Series: Guide 01)
An introduction to building an effective experimentation program at your company.
Lessons Learned from Writing Online
Where I share my story writing MLinProduction and key metrics from building my audience and monetization.
Newsletter #087
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #086
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #085
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #084
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #083
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Newsletter #082
Weekly newsletter dedicated to sharing resources for building and operating production machine learning systems.
Andrej Karpathy blog
Deep Neural Nets: 33 years ago and 33 years from now
A from-scratch tour of Bitcoin in Python
Short Story on AI: Forward Pass
Biohacking Lite
A Recipe for Training Neural Networks
(started posting on Medium instead)
A Survival Guide to a PhD
Deep Reinforcement Learning: Pong from Pixels
Short Story on AI: A Cognitive Discontinuity.
What a Deep Neural Network thinks about your #selfie
AI Trends
Best Practices for Building the AI Development Platform in Government
AI Trends - The Business and Technology of Enterprise AI
Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI
AI Trends - The Business and Technology of Enterprise AI
Promise and Perils of Using AI for Hiring: Guard Against Data Bias
AI Trends - The Business and Technology of Enterprise AI
Predictive Maintenance Proving Out as Successful AI Use Case
AI Trends - The Business and Technology of Enterprise AI
Novelty In The Game Of Go Provides Bright Insights For AI And Autonomous Vehicles
AI Trends - The Business and Technology of Enterprise AI
Getting Government AI Engineers to Tune into AI Ethics Seen as Challenge
AI Trends - The Business and Technology of Enterprise AI
Digital Natives Seen Having Advantages as Part of Government AI Engineering Teams
AI Trends - The Business and Technology of Enterprise AI
How Accountability Practices Are Pursued by AI Engineers in the Federal Government
AI Trends - The Business and Technology of Enterprise AI
Startup: AssemblyAI Represents New Generation Speech Recognition
AI Trends - The Business and Technology of Enterprise AI
Pursuit of Autonomous Cars May Pose Risk of AI Tapping Forbidden Knowledge
Distill
Understanding Convolutions on Graphs
Understanding the building blocks and design choices of graph neural networks.
A Gentle Introduction to Graph Neural Networks
What components are needed for building learning algorithms that leverage the structure and properties of graphs?
Distill Hiatus
After five years, Distill will be taking a break.
Adversarial Reprogramming of Neural Cellular Automata
Reprogramming Neural CA to exhibit novel behaviour, using adversarial attacks.
Weight Banding
Weights in the final layer of common visual models appear as horizontal bands. We investigate how and why.
Branch Specialization
When a neural network layer is divided into multiple branches, neurons self-organize into coherent groupings.
Multimodal Neurons in Artificial Neural Networks
We report the existence of multimodal neurons in artificial neural networks, similar to those found in the human brain.
Self-Organising Textures
Neural Cellular Automata learn to generate textures, exhibiting surprising properties.
Visualizing Weights
We present techniques for visualizing, contextualizing, and understanding neural network weights.
Curve Circuits
Reverse engineering the curve detection algorithm from InceptionV1 and reimplementing it from scratch.
ELEDIA E-AIR
IEEE T-AP Special Issue on “Artificial Intelligence: New Frontiers in Real‐Time Inverse Scattering and Electromagnetic Imaging”
How does AI help run enterprises?
Announcement of the 2020 ELEDIA Artificial Intelligence Summer Hackathon Awards
Join the 2020 ELEDIA ARTIFICIAL INTELLIGENCE SUMMER HACKATHON
Saving Bambi through AI: Wildlife Crossing Monitoring and Prediction for Road Safety
E-AIR and Divination: the Quest for Predictive Maintenance in Industry 4.0
ELEDIA Precision Farming: how AI supports Farmers and saves Water
E-AIR Suite can learn your wireless signature and “see” you
Unveiling the E-AIR Blog
Linear Digressions
So long, and thanks for all the fish
All good things must come to an end, including this podcast. This is the last episode we plan to release, and it doesn’t cover data science—it’s mostly reminiscing, thanking our wo...
A reality check on AI-driven medical assistants
The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. This episode l...
A Data Science Take on Open Policing Data
A few weeks ago, we put out a call for data scientists interested in issues of race and racism, or people studying how those topics can be studied with data science methods, should...
Procella: YouTube's super-system for analytics data storage
This is a re-release of an episode that originally ran in October 2019. If you’re trying to manage a project that serves up analytics data for a few very distinct uses, you’d be w...
The Data Science Open Source Ecosystem
Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are dispropor...
Rock the ROC Curve
This is a re-release of an episode that first ran on January 29, 2017. This week: everybody's favorite WWII-era classifier metric!  But it's not just for winning wars, it's...
Criminology and data science
This episode features Zach Drake, a working data scientist and PhD candidate in the Criminology, Law and Society program at George Mason University. Zach specializes in bringing da...
Racism, the criminal justice system, and data science
As protests sweep across the United States in the wake of the killing of George Floyd by a Minneapolis police officer, we take a moment to dig into one of the ways that data scienc...
An interstitial word from Ben
A message from Ben around algorithmic bias, and how our models are sometimes reflections of ourselves.
Convolutional neural networks
This is a re-release of an episode that originally aired on April 1, 2018 If you've done image recognition or computer vision tasks with a neural network, you've probably used a...
fast.ai NLP
Efficient multi-lingual language model fine-tuning
Introducing state of the art text classification with universal language models
colah's blog
Collaboration and Credit Principles
Visual Information Theory
Neural Networks, Types, and Functional Programming
Calculus on Computational Graphs: Backpropagation
Understanding LSTM Networks
Visualizing Representations: Deep Learning and Human Beings
Stories by Andrej Karpathy on Medium
Software 2.0
I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you ca...
AlphaGo, in context
Update Oct 18, 2017: AlphaGo Zero was announced. This post refers to the previous version. 95% of it still applies. I had a chance to talk to several people about the recent AlphaG...
ICML accepted papers institution stats
The accepted papers at ICML have been published. ICML is a top Machine Learning conference, and one of the most relevant to Deep Learning, although NIPS has a longer DL tradition a...
A Peek at Trends in Machine Learning
Have you looked at Google Trends? It’s pretty cool — you enter some keywords and see how Google Searches of that term vary through time. I thought — hey, I happen to have this arxi...
ICLR 2017 vs arxiv-sanity
I thought it would be fun to cross-reference the ICLR 2017 (a popular Deep Learning conference) decisions (which fall into 4 categories: oral, poster, workshop, reject) with the nu...
Virtual Reality: still not quite there, again.
The first time I tried out Virtual Reality was a while ago — somewhere in the late 1990's. I was quite young so my memory is a bit hazy, but I remember a research-lab-like room ful...
Yes you should understand backprop
When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations involved in backpropagation on the ...
CS183c Assignment #3
The last few weeks we heard from several excellent guests, including Selina Tobaccowala from Survey Monkey, Patrick Collison from Stripe, Nirav Tolia from Nextdoor, Shishir Mehrotr...