Scientists have developed a new machine learning method that reveals surprisingly consistent intrinsic brain patterns across different subjects by disentangling these patterns from the effect of ...

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference” was published by researchers at Georgia Tech, TSMC and National Tsing Hua ...

Maryam Shanechi, the Sawchuk Chair in Electrical and Computer Engineering and founding director of the USC Center for Neurotechnology, and her team have developed a new AI algorithm that can separate ...

Scientists have developed a new AI algorithm that can separate brain patterns related to a particular behavior. This work promises to improve brain-computer interfaces and aid with the discovery of ...