As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

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 ...

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

A new machine learning method has slashed battery testing times -- a key barrier to longer-lasting, faster-charging batteries for electric vehicles -- by nearly fifteenfold. Battery performance can ...

SAN FRANCISCO--(BUSINESS WIRE)--Herophilus, a leading biotechnology company developing neurotherapeutics to cure complex brain diseases, today announced the publication of research that describes a ...

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 ...

Researchers combine AI and mobile health to predict recovery from lumbar spine surgery. Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more ...