A brain–computer interface (BCI) is a groundbreaking technology that enables direct communication between the human brain and external devices. BCIs are transforming healthcare by restoring movement in paralyzed individuals, assisting communication in speech-impaired patients, and even augmenting human cognitive capabilities. This convergence of neuroscience, engineering, and artificial intelligence marks a new era of neurotechnology.

The Brain–Computer Interface session explores the science behind neural signal acquisition, decoding, and transmission to control external systems. These interfaces interpret electrical activity through EEG, ECoG, or implanted electrodes, allowing users to move robotic limbs, operate wheelchairs, or type messages through thought.

At the Brain–Computer Interface Conference, researchers present advancements in signal decoding, adaptive machine learning, and biocompatible materials that improve accuracy and comfort for long-term use. Non-invasive BCIs are increasingly used for neurorehabilitation, cognitive enhancement, and even gaming and virtual-reality applications.

This session brings together neuroscientists, computer engineers, clinicians, and AI developers to discuss clinical applications, ethical considerations, and the future of human–machine integration. Attendees will explore hybrid BCIs combining neural and muscular signals, wireless implantable devices, and brain-controlled prosthetics that blur the boundary between biological and digital intelligence.

Recent developments in Neurotechnology and AI demonstrate how BCI innovations are redefining assistive communication, neuroprosthetics, and personalized therapy.