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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.
As renewable energy sources such as wind and solar become more widespread, managing the power grid has become increasingly complex. Researchers at the University of Virginia have developed an innovative solution.
October 16, 2024
The future is being shaped by researchers at the UVA’s School of Engineering and Applied Science with their latest breakthrough: an AI-driven intelligent video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.
The University of Virginia is poised to take the lead in addressing a major global challenge: ensuring that rapidly evolving digital technologies fortify, rather than undermine, democratic institutions and practices.
October 23, 2024
Kory Burns, an assistant professor at the University of Virginia School of Engineering and Applied Science, is a leader in materials science who is using artificial intelligence to improve materials characterization.
UVA Professor Jon Goodall's Machine Learning Advancements
October 22,2023
University of Virginia’s professor and his team are leveraging artificial intelligence and machine learning to predict street-level flooding in real-time, helping the city respond faster to extreme weather events.
October 16, 20024
Springbok Analytics, co-founded by University of Virginia biomedical engineering professors Silvia Salinas Blemker and Craig Meyer, has received 510(k) clearance from the FDA for its MuscleView™ AI technology.
Rethinking Human-Machine Interaction for Ethical Engineering
October 15, 2024
In his article, "Trust is Not a Virtue: Why We Should Not Trust," Matthew L. Bolton, an associate professor of systems and information engineering at the University of Virginia, critically challenges the emphasis on fostering trust in human-machine interactions. He focuses particularly on systems using AI, machine learning and automation.
October 14, 2024
Researchers at the University of Virginia have made a significant advancement in manufacturing technology by developing an AI-driven system that could transform how factories operate.
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