Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals ...

A research team from the University of Xiamen has developed a machine learning potential specifically for Pt-water interfaces. This research harnessed machine learning molecular dynamics to uncover ...

The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...

Researchers led by Jean-Paul Noel at the University of Minnesota, United States, have decoupled intentions, actions and their effects by manipulating the brain-machine interface that allows a person ...

A new study published in iScience, a Cell Press journal, reveals how the severely paralyzed can drive wheelchairs with thoughts in a realistic environment after non-invasively training an artificial ...

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...

An international team of researchers is combining soft scalp electronics and virtual reality in a brain-interface system. A new wearable brain-machine interface (BMI) system could improve the quality ...

An ever-increasing number of technology devices now feature built-in voice recognition capabilities and voice-enabled software. Whether Siri, Alexa, Google Assistant, our cars, laundry machines, or ...

The human-machine interface (HMI), also known as the user interface (UI), is the most critical component of any machine’s usability. Even the most impressive machine means little to nothing to the ...

(A) Illustrations of a subject wearing a virtual reality headset and the brain–machine interface. (B) The microneedle electrodes that penetrate the scalp to collect the brain’s electrical signals.