Affective computing, proposed by Picard in 1997, aims to endow computational systems with the ability to recognize, interpret, and respond to human emotions. Early studies relied primarily on ...
News Medical on MSN
Using artificial intelligence to understand how emotions are formed
Researchers at the Nara Institute of Science and Technology and Osaka University have developed a computational model of how human emotions are formed. This system integrates body signals, sensory ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.
In an era where data reigns supreme, healthcare organizations find themselves with unprecedented opportunities to use data to transform patient care, operational efficiency and commercial outcomes.
Hemant Madaan is CEO of JumpGrowth with 20+ years in IT & Digital Solutions to guide tech startups and deliver enterprise solutions. AI has seen a meteoric rise over the past decade, moving from ...
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