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Machine Learning

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22:08
2026-06-19
letsdatascience.com
machine-learning

Researchers develop ML model to predict hepatic steatosis severity

Researchers published a preprint on ResearchGate detailing a machine-learning model to predict hepatic steatosis severity in nonobese individuals, addressing a screening gap where steatotic liver disease affects 40% of t…

11:00
2026-06-08
arstechnica.com
artificial-intelligence

The weather and climate science AI revolution isn’t revolutionary

The growing use of artificial intelligence in weather and climate modeling relies on machine learning techniques that researchers have studied for years, not the generative AI behind viral chatbots. A National Weather Se…

05:27
2026-07-23
koreaherald.com
machine-learning

Shinsegae's AI paper accepted at ICML

Shinsegae Department Store's AI-powered hyperpersonalization technology, developed jointly with Seoul National University, has been accepted for presentation at the International Conference on Machine Learning, marking t…

18:43
2026-07-21
insideai.news
artificial-intelligence

University of Tennessee Sues Anthropic Over Neural Network Patents

The University of Tennessee Research Foundation filed a patent infringement lawsuit against Anthropic on Monday in Delaware federal court, accusing the AI company of using its neural network technology without permission…

09:00
2026-05-21
infoworld.com
artificial-intelligence

AI at scale: What engineering teams are confronting

Enterprise engineering teams are discovering that operationalizing artificial intelligence at scale is significantly more difficult than early experimentation, with a new survey revealing that nearly three-quarters of or…

11:00
2026-04-27
theaithinker.com
artificial-intelligence

How to use AI to actually learn to code

A product manager used AI as a tutor to learn coding from a Kaggle dataset, building a working model while catching a classic machine learning mistake. The approach reveals that AI amplifies existing expertise and gaps, …

07:00
2026-07-11
hamel.dev
artificial-intelligence

Do Automated Evals Work?

Machine learning engineer Hamel Husain argues that automated evaluations (evals) for AI systems are flawed and often misleading, based on his 20+ years of experience and work at Airbnb and GitHub. He teaches a course on …

12:00
2026-07-19
lightningjar.com
artificial-intelligence

Infinities, impossibilities, and the man in the white linen suit

Iain Harper argues that the AI industry's promise of safety guarantees is mathematically unsupported, tracing the limits of rule-based systems from Kurt Gödel's 1931 incompleteness theorems through Alan Turing to contemp…

13:00
2026-05-23
spectrum.ieee.org
machine-learning

Radar Can Tell the Difference Between Insect Species

European researchers have developed a millimeter-wave radar system that can distinguish between insect species by analyzing micro-Doppler signatures from their wingbeats, offering a non-invasive alternative to capturing …

01:12
2026-07-08
dev.to
artificial-intelligence

AI Engineer Roadmap: Looking for Your Feedback

A developer named ArshiaLogic has created a roadmap for aspiring AI engineers, focusing on hands-on projects rather than tutorials. The roadmap covers Python, data science, machine learning, deep learning with PyTorch, t…

21:55
2026-06-17
anycloud.sh
machine-learning

Ångstrom used Claude Code to train a model that beat Meta's UMA-OMC

Ångstrom AI (YC S24), in collaboration with the University of Cambridge and AstraZeneca, released CSP-MACE-Å, a machine learning model that achieves DFT accuracy for crystal structure prediction with a 10,000x speedup, o…

02:38
2026-06-27
letsdatascience.com
machine-learning

AI Improves Prediction of Cancer Drug Resistance

A review published in Current Molecular Pharmacology surveys computational approaches for predicting tumor drug resistance, led by researchers at Shanghai Jiao Tong University School of Medicine. The study maps how machi…

03:53
2026-07-11
machinebrief.com
machine-learning

Operator Learning: Bridging Theory and Practice

A new survey paper examines error limits and sample size constraints in operator learning using a minimax perspective, focusing on holomorphic operators and neural network approximations. The research highlights a discon…

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