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Agarwal finds success in competitive programming in cybersecurity and blockchain tracks.
Vitthal Agarwal , a freshman double majoring in computer science and mathematics at the University of Maryland, has quickly established himself in the hackathon circuit. The international student has competed in several high-profile events, securing...read more
Emojis—those expressive yellow faces and diverse icons that many of us use in texts and emails—offer a fun and quick way for people to share sentiments, convey emotions, and establish aspects of their identity that...read more
In a Q&A, Chen shares insights from his startup journey with FiscalNote and Nitra at the Mokhtarzada Hatchery Speaker Series.
The path to entrepreneurship is rarely straightforward. For many, hands-on experience in building projects, learning from failures and adapting to challenges can be just as valuable as formal education. University of Maryland Department of Computer...read more
A University of Maryland expert in machine learning has been awarded funding from the National Science Foundation (NSF) to explore how autonomous systems can learn from each other and make decisions together in complex, real-world...read more
University of Maryland, College Park was awarded 71 patents in 2024.
The University of Maryland has again earned a spot among the world's top academic institutions for turning research and discoveries into patents, according to a new report released Tuesday by the National Academy of Inventors...read more
Lin is the first Asian American woman to oversee the Computing Research Association’s financial affairs.
Ming Lin , a Distinguished University Professor at the University of Maryland’s Department of Computer Science, has been elected the Treasurer of the Computing Research Association (CRA) and a member of the Executive Committee of...read more
In an age where the internet is woven into our daily lives, privacy concerns are on the rise. From cookies tracking online behavior to geolocation services pinpointing a person’s location, the digital age has increasingly...read more
Sesame is the first voice assistant I’ve ever wanted to talk to more than once
I tell Amazon’s Alexa to shut up on a near daily basis. I have almost zero interest in speaking to Gemini after our first awkward chat. The hitches, misunderstandings, and lag in any given AI...read more
Upcoming Events
Talk
03.24.2025 12:00 to 14:00
PhD Defense: Hallucinations in Multimodal Large Language Models: Evaluation, Mitigation, and Future Directions
Fuxiao Liu
IRB IRB-4109 or https://umd.zoom.us/j/6148747387?pwd=VEtTU1NNTkYzYlU5YnJKL2piNURIQT09
PhD Defense: Hallucinations in Multimodal Large Language Models: Evaluation, Mitigation, and Future Directions
Fuxiao Liu
Talk
03.24.2025 13:30 to 15:30
PhD Defense: On Learning Behaviours of Parallel Code and Systems Across Modalities
Daniel Nichols
IRB IRB-5105
PhD Defense: On Learning Behaviours of Parallel Code and Systems Across Modalities
Daniel Nichols
Talk
03.24.2025 15:30 to 17:00
PhD Defense: Interpreting Deep Learning Models and Unlocking New Capabilities With It
Samyadeep Basu
IRB IRB-4105 or https://umd.zoom.us/j/2029529447?pwd=WThzQmpuMmJpL2ZSd2trL1lJQWlNdz09
PhD Defense: Interpreting Deep Learning Models and Unlocking New Capabilities With It
Samyadeep Basu
Talk
03.25.2025 13:30 to 14:30
Understanding Aging at Multi-scale Using Explainable AI
Wei Qiu
IRB 4105 or https://umd.zoom.us/j/94340703410?pwd=rrXaGSXSpabcMTtDNmeCNf2Ih2fQYE.1
Understanding Aging at Multi-scale Using Explainable AI
Wei Qiu
Talk
03.26.2025 09:00 to 23:00
PhD Proposal: Tailoring Reinforcement Learning Approaches for Socially Consequential Domains
Aviva Prins
IRB IRB-4107
PhD Proposal: Tailoring Reinforcement Learning Approaches for Socially Consequential Domains
Aviva Prins
Talk
03.26.2025 11:00 to 12:30
PhD Defense: Understanding and Modeling Explicit and Implicit Representations of the Visual World
Matthew Gwilliam
IRB IRB-4107
PhD Defense: Understanding and Modeling Explicit and Implicit Representations of the Visual World
Matthew Gwilliam
Event
Talk
03.26.2025 14:30 to 15:30
Challenges and Opportunities in Open Generative Models
Aaron Gokaslan
IRB 4105 or https://umd.zoom.us/s/2203990027
Challenges and Opportunities in Open Generative Models
Aaron Gokaslan
Talk
03.28.2025 10:00 to 11:30
PhD Proposal: A Good Translation Is One That Can Win a Polish Game Show: Expanding Modalities & Evaluation for Robust, Trustworthy, and User-Centric Translation
HyoJung Han
IRB IRB-4107
PhD Proposal: A Good Translation Is One That Can Win a Polish Game Show: Expanding Modalities & Evaluation for Robust, Trustworthy, and User-Centric Translation
HyoJung Han
Talk
03.28.2025 10:10 to 23:30
PhD Defense: Communication-efficient Hybrid Parallel Algorithms for Neural Network Training
Siddharth Singh
IRB IRB-5237
PhD Defense: Communication-efficient Hybrid Parallel Algorithms for Neural Network Training
Siddharth Singh
03.24.2025 13:30 to 15:30
PhD Defense: On Learning Behaviours of Parallel Code and Systems Across Modalities
IRB-5105
PhD Defense: On Learning Behaviours of Parallel Code and Systems Across Modalities
03.24.2025 15:30 to 17:00
PhD Defense: Interpreting Deep Learning Models and Unlocking New Capabilities With It
IRB-4105 or https://umd.zoom.us/j/2029529447?pwd=WThzQmpuMmJpL2ZSd2trL1lJQWlNdz09
PhD Defense: Interpreting Deep Learning Models and Unlocking New Capabilities With It
03.25.2025 13:30 to 14:30
Understanding Aging at Multi-scale Using Explainable AI
IRB 4105 or https://umd.zoom.us/j/94340703410?pwd=rrXaGSXSpabcMTtDNmeCNf2Ih2fQYE.1
Understanding Aging at Multi-scale Using Explainable AI
03.26.2025 09:00 to 23:00
PhD Proposal: Tailoring Reinforcement Learning Approaches for Socially Consequential Domains
IRB-4107
PhD Proposal: Tailoring Reinforcement Learning Approaches for Socially Consequential Domains
03.26.2025 11:00 to 12:30
PhD Defense: Understanding and Modeling Explicit and Implicit Representations of the Visual World
IRB-4107
PhD Defense: Understanding and Modeling Explicit and Implicit Representations of the Visual World
03.26.2025 14:30 to 15:30
Challenges and Opportunities in Open Generative Models
IRB 4105 or https://umd.zoom.us/s/2203990027
Challenges and Opportunities in Open Generative Models