A Ph.D. graduate student in biomolecular engineering at UC Santa Cruz, with a background in computer science and mathematics, ...

Brain-computer interfaces (BCIs) is promising in interacting with machines through electroencephalogram (EEG) signal. The compact end-to-end neural network model for generalized BCIs, EEGNet, has been ...

The University of Washington's Allen School is rethinking how to train the next generation of software engineers in an ...

Grace Hertlein’s collection is “a kaleidoscopic snapshot of the early decades of an art historical and technological ...

Some studies containing instructions in white text or small font — visible only to machines — will be withdrawn from preprint ...

Rajesh K. Gupta, a distinguished computer scientist and seasoned academic leader, has been named founding dean of the School ...

Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel electroencephalogram (EEG) ...