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CAREER Award: Teaching Machines the Art of Human Decision-Making
Research Aims to Improve Machines’ Recommendations and Predictions Based on Cause and Effect
Li’s models will generate deeper insights into observational data to help people make better decisions affecting their health, economic well-being and quality of life.
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Medicine Meets Big Data: Clinicians Look to AI for Disease Prediction and Prevention
Donald E. Brown, W.S. Calcott Professor in the Department of Engineering Systems and Environment, and Dr. Sana Syed, a UVA Health pediatric gastroenterologist, are using deep learning methods in their quest to improve patient outcomes.
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New Technology Could Help Doctors Improve COVID-19 Patient Outcomes
Researchers at the University of Tokyo and University of Virginia find an early and treatable indicator of blood clotting in COVID-19 patients
The technology generates data within a matter of hours to determine patients at risk for micro thrombosis-related issues.
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Look Ma, No Hands!
On Saturday, Oct. 23, a team of UVA Engineering students led by computer science assistant professor Madhur Behl will compete in the first Indy Autonomous Challenge, which will be livestreamed from the track starting at 1:00 p.m.
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Shouts and Whispers
UVA Electrical Engineers Demonstrate That Strong and Weak Transmitters Can Share Radio Frequency Without Coordination
NSF grant extends research in statistical signal processing, ML and matrix theory, as well as practical communications engineering.
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Aidong Zhang Is a Recognized Leader in a Field She Helped Create
Zhang Appointed Interim Chair of the Department of Computer Science
Aidong Zhang, who was one of the first computer scientists to apply the tools of her trade to analyzing biomedical data, has been named interim chair of the Department of Computer...
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A Messenger for Medicine
Yanjun Qi Builds Artificial Intelligence Tools That Have the Power to Turn Biomedical Data into Better Medicine
Yanjun Qi, an associate professor of computer science in the University of Virginia School of Engineering and Applied Science, is using powerful deep-learning models to analyze...
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Computer science professor David Evans and his team conduct experiments to understand security and privacy risks associated with machine learning
David Evans, professor of computer science in the University of Virginia School of Engineering and Applied Science, is leading research to understand how machine learning models...
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UVA Biocomplexity Institute Developing Artificial Intelligence for Agriculture
Computer science professor Madhav Marathe to head-up UVA team as part of the $20 million research effort
Researchers at the University of Virginia Biocomplexity Institute are founding partners of a national research institute that will develop artificial intelligence-driven solutions...
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Cong Shen Honored for Wireless Communications Research
Method to Compress Machine Learning Models Earns International Conference on Communications Best Paper Award
Shen demonstrated a way to compress machine learning models held and exchanged through a wireless communications network.