Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
4don MSN
Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...
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