New model makes machine learning potentials more accurate and more accessible

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
Phys.org

Multimodal machine learning model increases accuracy of catalyst screening

Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Phys.org

Machine learning improves accuracy of climate models—particularly for compound extreme events

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
Analytics Insight

10 Most Common Machine Learning Mistakes and Tips to Fix Them

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...
Nasdaq

NTT Researchers Advance AI and Machine Learning Accuracy, Security and Cost Effectiveness at ICML 2025

NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...

A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Devdiscourse

Financial institutions turn to blockchain and federated AI for secure fraud detection

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...