Brain Interface Technology - Supermen and Cyborgs at The World Forum 2025 The panel discussion brought together leading experts to explore the profound implications of brain-computer interface (BCI) technology on human rights
Bio-Interfaced Soft Electronics for Human-Machine Interfaces and Health Monitoring Prof. W. Hong Yeo Woodruff School of Mechanical Engineering, Georgia Institute of Technology 2018
ITU: Deep learning for physical layer wireless communication networks and sensing radio propagation channel characteristics and modeling approaches from below 6 GHz to the millimeter wave and THz spectrum bands, with a focus on AI/ML opportunities