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

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.

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

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

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

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

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

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

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: ...

Learn what overfitting is, how it impacts data models, and effective strategies to prevent it, such as cross-validation and simplification.