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.

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

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

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

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

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

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

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

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

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