As digital systems become more power and energy constrained, the need for optimizing these quantities early in the design process grows ever more important. Fast and accurate power and energy models ...

This study presents the Task-level Heterogeneous Federated Learning (TH-FL), a novel paradigm that fuses the principles of Federated Learning (FL) and Multi-Task Learning (MTL). In the TH-FL scenario, ...

Researchers at the Niels Bohr Institute, University of Copenhagen, have developed a tunable system that paves the way for ...

Based on the Silvaco TCAD-ATLAS platform, an electromagnetic physical model of GaN HEMT devices was built. The DC and RF characteristics of GaN HEMT simulation ...

Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning electron-level information without requiring costly quantum mechanical ...