Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
IEEE

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-Shot Named Entity Recognition

Abstract: Few-shot named entity recognition (NER) systems recognize entities using a few labeled training examples. The general pipeline consists of a span detector to identify entity spans in text ...
IEEE

Instrumentation, Measurement, and Signal Processing in Electroencephalography-Based Brain-Computer Interfaces: Situations and Prospects

Abstract: Proper signal measurement and processing are crucial in electroencephalography (EEG)-based brain-computer interfaces (BCIs), as they form the basis of brain insight and precise BCI control.