Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

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 ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility practice for AI technologies in just four months.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

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

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

In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

STAR encourages dealers to start with a high-value pilot, keep humans in the loop, and document success metrics to scale what works. STAR's AI Governance Guidance includes checklists and practical ...