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James Purtilo discusses Microsoft's air-gapped generative AI for intelligence agencies, enhancing data security and computing power.
America’s spy agencies will be deploying generative artificial intelligence (AI) to analyze sensitive data. It was announced last week that Microsoft’s generative AI model for the intelligence communities will address the security issues from large...read more
Singh is developing a framework for enhanced autonomy in tiny robots inspired by the efficient perception systems of small animals.
In the natural world, where every graceful flutter of a hummingbird's wings or nimble scuttle of an insect highlights a sophisticated survival and perception system, a similar, albeit artificial, marvel is unfolding in the realm...read more
Five researchers with appointments in the University of Maryland Institute for Advanced Computer Studies (UMIACS) were interviewed for a podcast series on how artificial intelligence (AI) will change education, work, culture and creativity. The podcast...read more
Abhinav Bhatele , an associate professor of computer science with an appointment in the University of Maryland Institute for Advanced Computer Studies , was the recipient of the 2024 Early Career Academic Achievement Alumni Award...read more
With Hatchery support, UMD students started innovative businesses, from teaching people how to communicate with generative AI to creating personalized marketing assistants.
At the University of Maryland, innovative student entrepreneurs are not just imagining solutions for tomorrow’s challenges—they’re actively building them. From advanced software tools to AI-driven platforms, these young innovators are turning their visionary ideas into...read more
Abhinav Shrivastava, an assistant professor of computer science, is principal investigator for one of only 35 projects nationwide selected to jumpstart the National Artificial Intelligence Research Resource (NAIRR) program. NAIRR is a joint effort between...read more
Her work focuses on developing scientific methods to enhance LLMs' accuracy, fairness and cultural adaptability in reasoning about everyday situations.
Rachel Rudinger , an assistant professor of computer science at the University of Maryland, has received a National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) award to further her work on “ Robust,...read more
Speakers at the event shared that the revolutionary technology must embrace values and variety of perspectives.
The University of Maryland on Thursday celebrated the launch of an institute to engage every academic unit across campus in creating the future of artificial intelligence, one in which the burgeoning technology works for the...read more
Upcoming Events
Talk
05.16.2024 10:00 to 12:00
PhD Proposal: Speeding up Density Functional Theory with Machine Learning
Phillip Pope
IRB IRB-4105
PhD Proposal: Speeding up Density Functional Theory with Machine Learning
Phillip Pope
Talk
05.16.2024 15:00 to 16:00
PhD Proposal: Taming Generative Priors for Consistent and Faithful Video Processing
Yiran Xu
IRB IRB-4105
PhD Proposal: Taming Generative Priors for Consistent and Faithful Video Processing
Yiran Xu
Event
Talk
Talk
05.20.2024 13:00 to 15:00
PhD Proposal: Learning with Incomplete Information
Kiarash Banihashem
IRB 5105
PhD Proposal: Learning with Incomplete Information
Kiarash Banihashem
Talk
05.20.2024 15:00 to 16:30
PhD Proposal: Probabilistic notions of Fairness for problems in Combinatorial Optimization
Sharmila Duppala
IRB 4109
PhD Proposal: Probabilistic notions of Fairness for problems in Combinatorial Optimization
Sharmila Duppala
Talk
05.21.2024 11:00 to 12:00
Foundation Models and Generative AI for Medical Imaging Segmentation in Ultra-Low Data Regimes
Pengtao Xie
IRB 4105 or https://umd.zoom.us/j/5482450617
Foundation Models and Generative AI for Medical Imaging Segmentation in Ultra-Low Data Regimes
Pengtao Xie
05.16.2024 10:00 to 12:00
PhD Proposal: Speeding up Density Functional Theory with Machine Learning
IRB-4105
PhD Proposal: Speeding up Density Functional Theory with Machine Learning
05.16.2024 15:00 to 16:00
PhD Proposal: Taming Generative Priors for Consistent and Faithful Video Processing
IRB-4105
PhD Proposal: Taming Generative Priors for Consistent and Faithful Video Processing
05.20.2024 15:00 to 16:30
PhD Proposal: Probabilistic notions of Fairness for problems in Combinatorial Optimization
4109
PhD Proposal: Probabilistic notions of Fairness for problems in Combinatorial Optimization
05.21.2024 11:00 to 12:00
Foundation Models and Generative AI for Medical Imaging Segmentation in Ultra-Low Data Regimes
IRB 4105 or https://umd.zoom.us/j/5482450617
Foundation Models and Generative AI for Medical Imaging Segmentation in Ultra-Low Data Regimes
05.23.2024 14:00 to 16:00
PhD Defense: Harnessing Quantum Systems for Sensing, Simulation, and Optimization
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/97331537883?pwd=cUJMcWRuaVdBd0VIWkNzTmhEUWZuUT09
PhD Defense: Harnessing Quantum Systems for Sensing, Simulation, and Optimization
05.23.2024 15:30 to 16:30
TBA
IRB 3137 or Zoom: https://umd.zoom.us/j/6778156199?pwd=NkJKZG1Ib2Jxbmd5ZzNrVVlNMm91QT09
TBA