"An AI system can be technically safe yet deeply untrustworthy. This distinction matters because satisfying benchmarks is necessary but insufficient for trust." ...

Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

A new metasurface design lets light of different spins bend, focus, and behave independently—while staying sharp across many ...

Atmospheric aerosols influence climate forcing, air quality, visibility, and human health, but their properties vary widely across space and time. Satellite instruments equipped with multi-angle and ...

Human newborns arrive remarkably underdeveloped. The reason lies in a deep evolutionary trade-off between big brains, bipedalism and the limits of motherhood.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Physna is licensing API access to its Physical AI search and normalization engine for a cohort of AI labs, OEMs, ...

Dispersion is an inherent feature of electromagnetic waves. It allows light to behave differently at different wavelengths, ...

The research group led by Professor Yijun Feng and Professor Ke Chen from Nanjing University reports a hybrid-phase strategy ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...