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.
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, ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
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