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.

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

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

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

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

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...