AI-Optimized VLSI Amplifier for Real-Time Vehicle-to-Vehicle Data Exchange in Autonomous Vehicles

To ensure immediate vehicle-to-vehicle (V2V) data transmission, secure and efficient communication techniques play a key role in swift development of self-driving vehicles. A VLSI amplifier designed specifically to work with an Artificial Intelligence (AI)-aided environment is described here aimed at boosting performance in V2V communication systems. This amplifier adapts to gain, bandwidth, and power efficiency based on machine learning concepts for delivering stable data transmission with variable situations. The proposed design holds much promise as a future generation autonomous vehicle solution because simulation outcomes show a tremendous boost in signal integrity and energy economy.