A New York technology company has won its first U.S. federal research contract to ...

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

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

Sometimes, the best response for a predictive ML system is to pause, acknowledge that it does not have enough information and ...

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by advanced AI and machine learning. This shift is centered on pharmacogenomics, ...

An international research team involving the University of Bayreuth has, for the first time, analyzed the "inner workings" of ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.