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.
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 ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
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 ...
Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...
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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