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Researchers at UC Berkeley have developed a 16-element electronic nose chip that combines gas sensors and machine learning to identify food types, spoilage, and allergens, detecting as little as 0.05 grams of walnut mate…
Shopify has joined the PyTorch Foundation as a Platinum member, committing to invest in the open-source AI ecosystem and contribute engineering expertise to shape PyTorch for commerce and agentic AI. The e-commerce platf…
Professionals must move beyond casual AI use to master machine learning, deep learning, generative AI, and prompt engineering to stay relevant, according to an analysis of the core AI technical stack. The demand for AI s…
Researchers introduced Stein kernelized molecular dynamics (SKMD), an enhanced sampling method that uses interacting particle dynamics to acquire informative training configurations for active learning of machine learnin…
Sina Rajaeeian, a software engineer and machine learning master's student at KTH Royal Institute of Technology in Stockholm, has launched an interactive 3D portfolio website showcasing his work across AI/ML systems, full…
Ilya Sutskever's curated list of 30 foundational machine learning papers, originally shared with game developer John Carmack in 2019, has been organized into a structured roadmap at 30papers.com. The curriculum spans fro…
A developer has published a glossary defining over 25 key AI terms, from Large Language Models (LLMs) and Agentic AI to parameters and synthetic data. The guide breaks down common acronyms and concepts such as deep learn…
TechCrunch published a comprehensive AI glossary defining key terms like AGI, AI agents, API endpoints, and chain-of-thought reasoning to help readers navigate the rapidly evolving field of artificial intelligence. The g…
A new glossary aims to demystify common AI terminology, including terms like AGI, AI agents, and chain-of-thought reasoning, which often confuse even tech experts. The glossary, described as a living document updated reg…
Utkarsh Upadhyay and collaborators designed a machine learning algorithm for scheduling lessons, validated through large-scale randomized experiments showing improved learning and retention, published in Nature Science o…
NeuroLink, an AI SDK from Juspay, enables developers to add AI capabilities to applications in under five minutes with just a few lines of TypeScript. The SDK abstracts provider complexities, supporting OpenAI, Google, A…
Researchers introduced Looped World Models (LoopWM), the first looped architectures for world modeling that iteratively refine latent states through a parameter-shared transformer block, achieving up to 100x parameter ef…
A developer explains that Random Forest and Boosting solve different problems: Random Forest reduces variance by averaging many independent trees, while Boosting sequentially improves on remaining errors. The distinction…
Data Science, GenAI, and Agentic AI are the three skill layers professionals need to master by 2026, according to Data Science Practitioner and AI Educator Revati Pawar. Pawar warns that knowing Python and basic ML is no…
Ankit Gupta has joined Y Combinator as a General Partner, bringing deep machine learning expertise and startup experience as a former YC founder. He co-founded Reverie Labs, a biotech AI company later acquired by Ginkgo …
A free, ATS-friendly Data Scientist cover letter sample is available, featuring an AI generator that customizes the letter in one click. The sample highlights a candidate with expertise in predictive modeling, machine le…
PolymathicAI released The Well, a 15TB collection of 16 physics simulation datasets for machine learning, covering domains like fluid dynamics and supernova explosions. The open-source repository provides tools for downl…
A study led by researchers at the Centre for Addiction and Mental Health (CAMH) in Toronto found that a machine learning model designed to predict aggression on psychiatric wards systematically overestimates risk for Bla…
Vicki Boykis added tags to her static blog using BERTopic and LLMs including Claude Code and Deepseek, completing the project in 6-10 hours. She argues that LLMs excel at compression tasks like topic modeling and labelin…
In a 2025 blog post, researcher Nicholas Carlini argues that the future of large language models is highly uncertain, with two plausible but opposing outcomes. He suggests that within three to five years, these models co…