By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Abstract: This study explores the development of nonlinear activation functions in reinforcement learning through evolutionary computation. Traditional activation functions like Rectified Linear-Unit ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Control Barrier Functions (CBFs) have emerged as a prominent approach to designing safe navigation systems of robots. Despite their popularity, current CBF-based methods exhibit some ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
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