Tech Xplore

Human-machine learning boosts noninvasive brain-computer control in untrained users

Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor ...

Hackers can use 9 of the most popular AI tools to assemble massive botnets

With the ability to take control of distributed devices at scale, HalluSquatting has the potential to achieve various ...
AARP

One Type of Brain Training Cut Dementia Risk Decades Later, Study Shows

Javascript must be enabled to use this site. Please enable Javascript in your browser and try again. Donate to help seniors afford essentials they need today and ...
IEEE

Channel- and Label-Flip Data Augmentation for Motor Imagery-Based Brain–Computer Interfaces

Abstract: Achieving high classification accuracy in motor-imagery-based brain–computer interfaces (BCIs) requires substantial amounts of training data. A challenge arises because of the impracticality ...
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.