On-device learning has emerged as a promising direction for AI development, particularly because of its potential to reduce latency issues and mitigate privacy risks associated with device-server ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Abstract: Electroencephalogram (EEG)-based motor imagery (MI) (MI-EEG) decoding has established a novel experimental paradigm in brain-computer interface (BCI) applications that offer effective ...

Abstract: An efficient electromagnetic-thermal-stress modeling method based on the finite element domain decomposition method is presented for the analysis and design of antenna arrays. The proposed ...