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, ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
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 ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback