Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
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 ...
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 ...
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 ...
Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...
Alabama A&M University (AAMU) has been selected as a regional lead institution for Amazon Web Services–Machine Learning University (AWS-MLU), further elevating the university's role as a leader in ...
The article opened with "AIRA_2 model bests humans at the toughest machine learning problems" and attributed it to ...
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 ...