The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...