Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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.
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
WORK Medical Technology Group LTD (Nasdaq: WOK) ('WORK Medical”, the 'Company” or 'we”), a supplier of medical devices in ...
WORK Medical Technology Group LTD (Nasdaq: WOK) ("WORK Medical", the "Company" or "we"), a supplier of medical devices in China, through its subsidiary ...
This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
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