The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

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

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...