An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

By combining AI with molecular dynamics simulations, researchers at the Department of Energy's Oak Ridge National Laboratory have developed a new tool to more accurately predict how plants and helpful ...

University of Tennessee, Knoxville’s Katie Schuman and her team developed NODES, a neuromorphic computing system for ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ultimately dictate how information is processed, transmitted, stored, and ...