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 ...
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 ...
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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
The Rho-alpha model incorporates sensor modalities such as tactile feedback and is trained with human guidance, says ...
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