Artificial Intelligence and Electrical & Electronics Engineering: AIEEE Open Access
Self-Driving Car Linked to DNA-Graphene-Isotope Hybrid Computation with AI Feedback Under Gravity Control Via Satellite
Abstract
Chur Chin
This paper presents a speculative yet scientifically grounded model integrating self-driving automotive systems with DNA– graphene–isotope hybrid computation enhanced by satellite-based AI feedback mechanisms. The hybrid computation framework leverages quantum properties of biological DNA, isotopic substitution, and graphene conductivity to perform decentralized information processing, thereby extending the computational substrate beyond silicon-based systems. The model introduces Quantum-Gravitational Information Processing (QGIP) to correct for relativistic time dilation in AI systems and proposes a gravitational control mechanism via satellite for real-time traffic flow optimization. Entanglement- based synchronization between vehicle-AI, satellite-AI, and human neural–biological interfaces is proposed, establishing a gravity-sensitive feedback loop. Over 20 references are integrated to support this multi-disciplinary vision.