In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...

Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how advanced artificial intelligence and population health analytics can identify ...