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

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 ...

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 ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

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

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.

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

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 ...

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a machine ...