Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

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 ...

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

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 ...

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 ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.