“Training should be treated as a strategic investment in operational readiness, not a discretionary cost, because the consequences of capability gaps are rarely theoretical,” she added. For HR, that ...

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 ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

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

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 Supreme Court majority's decision in the Trump tariff case failed to handle the sepration of powers issue accurately.

Discover Experiential Reinforcement Learning (ERL), a revolutionary AI training paradigm that allows language models to learn from their own reflections, turning failure into structured wisdom without ...

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.