Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

CLEVELAND, Ohio — Case Western Reserve University researchers have received a $6.2 million grant to identify new genetic ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to study schizophrenia and depression.

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

Proteomics is emerging as a promising approach for identifying autism biomarkers by detecting protein-level changes linked to ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.