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 ...

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

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

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

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 ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

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

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

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