Researchers at the University of Virginia have developed an AI system that detects and tracks toxic gases in real time. It uses artificial neural networks and graphene-based sensors to mimic the human sense of smell, quickly identifying harmful gases like nitrogen dioxide. The system employs nano-islands of metal catalysts on graphene and optimally placed sensors for efficient coverage. This technology has potential applications in industrial, urban, and residential settings for improved air quality monitoring and health risk prevention.
