Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
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.
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, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
The promised gains in efficiency and output often feel just out of reach, as pilots stall, models underperform and even ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
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