Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive ...

The room we are in is locked. It is windowless and lit from above by a fluorescent bulb. In the hallway outside—two stories beneath the city of London—attendants in dark suits patrol silently, giving ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...

Understanding how the immune system responds is a vital step in developing new therapeutics and diagnostics, and towards knowing more about the natural history of disease. Rapid Novor is developing ...

James McWhinney is a long-tenured Investopedia contributor and an expert on personal finance and investing. With over 25 years of experience as a full-time communications professional, James writes ...

Abstract: Decoding motor imagery (MI) from electroencephalogram (EEG) signals is a cornerstone of brain–computer interface (BCI) systems. However, existing methods often face a critical tradeoff ...

Body language is a silent orchestra, as people constantly give clues to what they’re thinking and feeling. Non-verbal messages including body movements, facial expressions, vocal tone and volume, and ...

Abstract: We propose a novel Iterative Predictor-Critic Code Decoding framework for real-world image dehazing, abbreviated as IPC-Dehaze, which leverages the high-quality codebook prior encapsulated ...

Jan. 9, 2026 Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for ...