Deep Neural Networks for Human-AI Telepathy: Enabling Thought-Driven Command Execution Without External Hardware

Deep Neural Networks for Human-AI Telepathy: Enabling Thought-Driven Command Execution Without External Hardware

Subhasis Kundu
Solution Architecture & Design
Roswell, GA, USA
subhasis.kundu10000@gmail.com

Abstract — This groundbreaking research explores the creation of deep neural networks for human-AI telepathy, enabling command execution through thought alone, without relying on external devices. This study presents a novel brain-to-AI interface system that allows for the direct and effortless control of artificial systems via thought. Utilizing sophisticated machine-learning methods, this approach deciphers neural signals and converts them into executable commands. Through comprehensive experiments and detailed analysis, this research showcases the system's ability to accurately interpret intricate thought patterns and perform corresponding actions instantaneously. The results revealed notable improvements in speed, precision, and user experience over conventional brain-computer interfaces. This study paves the way for new possibilities in human-AI interaction and has significant implications in fields such as assistive technology, robotics, and immersive virtual environments.

Keywords — Neural Networks, Brain-Computer Interface, Telepathy, Thought Control, Artificial Intelligence, Neural Signal Processing, Human-AI Interaction, Deep Learning, EEG, fMRI.