A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo.
A new tool named T1GRS enables researchers to get more accurate, further-reaching risk scores for the greater population ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
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 ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
For more than a decade, a fundamental mystery has surrounded graphene—the one-atom-thick "wonder material" known for its ...
Gene therapy could potentially cure genetic diseases but it remains a challenge to package and deliver new genes to specific cells safely and effectively. Existing methods of engineering one of the ...
Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...
On Thursday, Oct. 16, Santa Clara University will serve as host of the 14th annual Bay Area Machine Learning Symposium, an event dedicated to exchanging ideas and sharing new research in machine ...
The Texas Advanced Computing Center (TACC) is offering a week-long Machine Learning for Life Sciences Researchers in-person workshop. Designed for bio-related researchers and practitioners, this hands ...
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