For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

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 ...

Perovskite solar cells have gained considerable momentum in the search for cheaper, more efficient solar energy. However, the ...

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 ...

University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for ...

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 ...

Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor ...

A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients ...

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 ...

Graduate medical education and other teaching programs within academic teaching hospitals across the U.S. have not yet come to grips with educating students and trainees on the emerging technology of ...

What if the Higgs boson found in 2012 is not alone but is the only sibling we have encountered so far? Scientists at CERN discovered the particle that year, and it was a major discovery because it ...