New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

The fundamental reason for the squeeze is the buildout of artificial intelligence data centres Read more at The Business Times.

Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...

For decades, Parkinson’s disease has been diagnosed only after tremors, stiffness and slowed movement are already disrupting daily life. Now a wave of research suggests a simple blood draw could ...

Brain imaging technologies (e.g., MRI, PET, advanced microscopy) are foundational tools for deciphering the brain's ...

Abstract: Motor imagery (MI) is a fundamental brain-machine interface (BMI) paradigm in which users learn how to modulate their brain signals to voluntarily and selectively activate specific areas of ...

Abstract: Accurate neural decoding of brain dynamics remains an open challenge in brain-machine interfaces. While various signal processing, feature extraction, and classification algorithms have been ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Elon Musk’s X is finally lifting the lid on how its platform works, particularly how the “For You” feed is shaped for users worldwide. The company has made public the code on GitHub that explains how ...