Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Spin density symmetry breaking in single-atom catalysts can significantly enhance the performance of hydrogen evolution ...

A research team led by Prof. Zhonghua Li from Harbin Institute of Technology has discovered how spin density symmetry breaking in single-atom ...

Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Artificial intelligence has become an integral part of modern cybersecurity operations. As digital threats grow in scale and ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Electrocatalysis sits at the heart of clean hydrogen production, fuel cells, and carbon dioxide conversion, yet progress ...

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

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...