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: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
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 ...
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