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Researchers at Jinhua Advanced Research Institute and Harbin University of Science and Technology have recently developed a deep learning algorithm that could detect depression from a person's speech.
Zhang is part of a research team that has developed a deep learning model to detect mental health symptoms and risk factors on social media. Their study – “Depression Detection Using Digital Traces on ...
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Tech Xplore on MSNAI model analyzes social media posts to detect signs of depressionSocial media is a sounding board of sorts in today's world. It's a place where people go to share their thoughts, opinions and feelings—and to test the reactions of others, too. In return, they ...
13d
Local Profile on MSNAI Tool For Detecting Depression Earns Plano Student Top National STEM AwardSiri Peddinti, a senior at Plano East Senior High School, has been named a national first-place winner at the 2025 Junior ...
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