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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
While cases of malaria have been decreasing in some parts of the world thanks to drug-based therapies, efforts to eradicate this life-threatening disease have recently stalled, due in part to the parasites that transmit malaria...read more
The student organization supports members by nurturing talent and bridging the gap to professional opportunities in tech.
App Dev , a Department of Computer Science student organization, was honored at the 12th Annual Do Good Challenge Finals , where it received a $5,000 first-place Do Good Challenge Award and the $2,500 Finalist...read more
With the exponential growth of large language models (LLMs) like ChatGPT showing no signs of abatement, distinguishing human from machine-generated content remains a concern in academia, journalism and many other segments of our society. University...read more
AWS developer Obayomi harnesses generative AI tools to get answers and solve problems, while helping other engineers learn and build better services.
I’ve been interested in software engineering ever since I got hooked on video games as a kid. I studied computer science and graduated from the University of Maryland in 2011, which required a lot of...read more
Levine was recognized for his 2023 dissertation, which introduces innovative methods for ensuring the robustness of machine learning models.
University of Maryland Department of Computer Science alum Alexander Levine (Ph.D. '23, computer science) has been awarded the Charles A. Caramello Distinguished Dissertation Award for his dissertation titled "Scalable Methods for Robust Machine Learning." Levine,...read more
Upcoming Events
Talk
05.13.2024 10:00 to 12:00
PhD Defense: Advanced Techniques for Reconstructing Objects and Scenes from Variations in Lighting and Viewpoint
Daniel Lichy
IRB 4109
PhD Defense: Advanced Techniques for Reconstructing Objects and Scenes from Variations in Lighting and Viewpoint
Daniel Lichy
Talk
05.14.2024 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
Talk
05.15.2024 10:30 to 12:30
PhD Proposal: Robust and Interpretable Deep Learning: Understanding the Role of Data and Architecture
Vasu Singla
IRB IRB-4109
PhD Proposal: Robust and Interpretable Deep Learning: Understanding the Role of Data and Architecture
Vasu Singla
Talk
05.15.2024 13:00 to 14:30
PhD Proposal: Obtaining Fine-Grained Control over Large Language Models
Sicheng Zhu
IRB IRB-5105
PhD Proposal: Obtaining Fine-Grained Control over Large Language Models
Sicheng Zhu
Event
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
05.13.2024 10:00 to 12:00
PhD Defense: Advanced Techniques for Reconstructing Objects and Scenes from Variations in Lighting and Viewpoint
4109
PhD Defense: Advanced Techniques for Reconstructing Objects and Scenes from Variations in Lighting and Viewpoint
05.14.2024 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
05.15.2024 10:30 to 12:30
PhD Proposal: Robust and Interpretable Deep Learning: Understanding the Role of Data and Architecture
IRB-4109
PhD Proposal: Robust and Interpretable Deep Learning: Understanding the Role of Data and Architecture
05.15.2024 13:00 to 14:30
PhD Proposal: Obtaining Fine-Grained Control over Large Language Models
IRB-5105
PhD Proposal: Obtaining Fine-Grained Control over Large Language Models
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