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Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence.
Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members earlier this year whether neural...read more
Artificial intelligence (AI) systems that understand and produce text and images have grown exponentially into mainstream use, flooding the internet and social media feeds with AI-generated content. But the same can’t be said for audio-based...read more
University of Maryland Computer Science Lecturer Matthew Nolan brings his experiences in music, art, computing and game design to the Immersive Media Design program.
As an accomplished musician, visual artist, game designer, programmer and educator, Matthew Nolan finds inspiration at the intersection of art and technology. This summer, he brought his unique skill set and nearly two decades of...read more
Baggett reflects on early influences, the creation of “Crash Bandicoot” and what he learned growing companies in the tech sector.
Dave Baggett (B.S. '92, computer science; B.A. '92, linguistics) has spent more than three decades working at the intersection of software, entertainment and security. From helping create the original “Crash Bandicoot” to co-founding ITA Software...read more
Google Developer Student Club hosts 12-hour AI-focused event drawing 120 participants.
The Brendan Iribe Center took on the energy of a fast-moving workspace on November 2 as students came together for the University of Maryland’s Gemini Hack Night. For 12 hours, teams shifted between planning sessions,...read more
UMD researchers develop tools to detect cultural and linguistic inconsistencies in AI-generated answers.
Imagine asking an AI chatbot for health advice and getting conflicting guidance—or turning to a chatbot in a crisis only to receive unclear instructions. Confusing or inconsistent AI isn’t just frustrating; it can put people’s...read more
Edward Marine and Viswanath Vasa develop SenseGuard, a long-range sensor system that helps organizations monitor environmental conditions in unattended sites.
Unoccupied buildings often carry risks that go unnoticed. A small leak, an unexpected power outage or a sudden temperature shift can cause extensive damage before anyone is aware. As property managers, researchers and organizations seek...read more
A gift from alum Brendan Iribe named a student lounge in honor of Computer Science Principal Lecturer Emerita Jandelyn Plane.
For 33 years, Jandelyn Plane worked to expand access to computing education at the University of Maryland. Earlier this year, a $2.85 million donation from alum Brendan Iribe established the Dr. Jan Plane Endowed Program...read more
Upcoming Events
Talk
01.12.2026 11:00 to 12:30
PhD Proposal: Elevating Data Systems: A Cost-Driven Architectural Approach to Query Processing and Schema Compilation
Hasara Kalumin
IRB-5137 https://umd.zoom.us/j/7123055142
PhD Proposal: Elevating Data Systems: A Cost-Driven Architectural Approach to Query Processing and Schema Compilation
Hasara Kalumin
Talk
01.13.2026 14:00 to 15:30
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
Sanjoy Chowdhury
IRB-5107 or umd.zoom.us/my/dmanocha
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
Sanjoy Chowdhury
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01.13.2026 14:00 to 15:30
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
IRB-5107 or umd.zoom.us/my/dmanocha
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
02.05.2026 11:00 to 12:00
Approximation and Optimization Problems in Quantum Information Science
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/97747371942 Meeting ID: 977 4737 1942
Approximation and Optimization Problems in Quantum Information Science