Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
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 ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
This year’s winner of Best use of machine learning/AI, ActiveViam stood out for delivering a practical, production-ready ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
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