Researchers at the University of Virginia School of Engineering and Applied Science developed an AI-powered system that mimics the human sense of smell to detect and track toxic gases in real time.
Researchers at the University of Virginia School of Engineering and Applied Science developed an AI-powered system that mimics the human sense of smell to detect and track toxic gases in real time. Using advanced artificial neural networks combined with a network of sensors, the system quickly identifies the source of harmful gases like nitrogen dioxide (NO₂) that poses severe respiratory health risks.
According to the World Health Organization, outdoor air pollution, including NO₂, contributes to approximately 4.2 million premature deaths globally each year, primarily due to respiratory conditions like asthma and chronic obstructive pulmonary disease (COPD).
Their work was recently published in Science Advances.
Read more at University of Virginia School of Engineering and Applied Science
Image: University of Virginia associate professor of electrical and computer engineering and materials science engineering Kyusang Lee. (Photo by Tom Cogill)
