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 ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

A research team at Universidad Carlos III de Madrid (UC3M) has developed technology using advanced machine learning techniques that detects signs of gender violence from paralinguistic characteristics ...

A Portage la Prairie mother says she is continuing to press for a religious accommodation after her request to opt her children out of a land-based learning program called Mamàhtawisiwin was denied by ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.