The Convergence of AI and BCIs
Wassim Jaber, Hussein A.H. Jaber, Ramzi A. Jaber, Z. Saleh
Abstract
BCIs and AI converge for enhanced brain-machine interaction. AI optimizes signal processing and control algorithms, fueling applications like movement restoration and mind-driven communication. This comprehensive review underscores AI's vital role in BCIs, tackling translation hurdles and fostering innovation. It explores AI-boosted BCIs for motor control, sensory feedback, and research. Transformative outcomes encompass disability empowerment, performance enhancement, and deeper brain insights. Challenges include quicker training and improved sensor accuracy. This partnership heralds a dynamic future, revolutionizing human-device interaction and advancing neurotech. As AI and neurotechnology advance, BCIs promise impactful transformations, enriching lives, and capabilities.