Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Adult learning in the United States continues to evolve as colleges, universities, and professional programs adapt to the ...
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 ...
7hon 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 ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Distance is possible, and often desirable, but nothing is ever exactly the same in a prepared course. The real thing comes ...
Late in 2020, the Togolese Ministry of Health (MoH) put out a call for help. The office of the presidency had given the MoH a clear directive: Figure out how to make maternal health care free. Our NGO ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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