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Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

Neurological disorders, including Alzheimer’s, Parkinson’s, ALS, and multiple sclerosis, pose significant challenges due to their complex pathophysiology ...

With artificial intelligence (AI) transforming industries around the world at lightning speed, the need for experts in the field has shot through the roof. For ...

Understanding how the brain encodes, processes, and transforms information to give rise to cognition is a central challenge in neuroscience. Recent advances ...

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create ...

Alexis Weaver is an Associate Lecturer in Music Technology. As a composer, she was an AI sceptic ... that is until she tried ...

And yet there is a plethora of AI systems that are harmful to queer people. Text-to-image systems turn trans people into ...

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems ...