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.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
SportsLine's self-learning AI reveals NFL player props and its SGP picks for Bears vs. 49ers on 'Sunday Night Football' ...
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