The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

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.

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Background and Goal: This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations in primary care practices. Study Approach: ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...