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The $1.86 million project led by UMD will develop advanced artificial intelligence tools for detection and forecasting.
Each year, wildland fires burn across millions of acres in the United States, threatening communities, wildlife and natural resources. Forecasting where and when those fires will spread remains one of the most difficult challenges for...read more
The three-year award supports programming language research on secure computation methods.
University of Maryland Department of Computer Science assistant professors Leonidas Lampropoulos and Ian Miers have received nearly $600,000 from the National Science Foundation (NSF) to study how programming languages can better support secure computation. The...read more
The University of Maryland will host an international conference this week that explores the latest in computational tools and methods used for research involving genomics and systems biology. The 25th annual Wonderful Algorithms for Bioinformatics...read more
He joins the inaugural cohort in a new B.S.-M.D. program, aiming to apply computational skills to emergency and neurological care.
I n a small gym in College Park, between sets on the bench press, Neal Vittal Rangarajan opened an email that would change the course of his academic career. It was confirmation of his acceptance...read more
CS Ph.D. student Vishnu Dorbala and UMD researchers advance embodied AI with situational queries for smarter household robots.
A team of researchers from the Institute for Systems Research (ISR) has introduced a pioneering approach that helps robots understand the world more like humans do, by taking context into account. Their paper, Is the...read more
The Cambridge University Press release examines essential cognitive functions for artificial intelligence systems.
Artificial intelligence systems are becoming increasingly capable of making decisions, adapting to new information and performing complex actions. Behind these abilities are fundamental processes such as planning, acting and learning, functions that researchers are working...read more
The third-year Ph.D. student advances context-aware, efficient multimodal audio-visual learning for fine-grained understanding and reasoning.
Imagine an artificial intelligence system that can not only watch and listen at the same time, but also deeply understand and generate rich, coherent responses by fusing information from both sight and sound. That vision...read more
Her research focuses on developing the next generation of secure large language models for programming.
University of Maryland computer science faculty member Yizheng Chen has received a National Science Foundation Faculty Early Career Development Program (CAREER) award to support research on improving the security of artificial intelligence tools used to...read more
Upcoming Events
Talk
09.03.2025 11:00 to 12:30
PhD Proposal: Mediating Cognition: Intent-Driven Agentic Workflows for Iterative, Multi-Stage Problem-Solving
Yuran Ding
IRB-5165
PhD Proposal: Mediating Cognition: Intent-Driven Agentic Workflows for Iterative, Multi-Stage Problem-Solving
Yuran Ding
Talk
09.04.2025 14:00 to 16:00
PhD Proposal: Building Trust in GenAI: Robust Provenance, AI-Detection Limits, and Multimodal Reliability
Mehrdad Saberi
IRB-4105 https://umd.zoom.us/j/5680985925
PhD Proposal: Building Trust in GenAI: Robust Provenance, AI-Detection Limits, and Multimodal Reliability
Mehrdad Saberi
Talk
09.04.2025 16:30 to 18:00
PhD Proposal: Knowledge Localization, Editing, and Unlearning in Foundation Models
Keivan Rezaei
IRB-5105 https://umd.zoom.us/j/9719759070
PhD Proposal: Knowledge Localization, Editing, and Unlearning in Foundation Models
Keivan Rezaei
Event
Talk
09.05.2025 11:00 to 12:00
Revisiting what it means to be Usable: Human-Centered Security Beyond End Users
Michelle Mazurek
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Revisiting what it means to be Usable: Human-Centered Security Beyond End Users
Michelle Mazurek
Event
Event
Talk
09.12.2025 11:00 to 12:00
Imaging and Sensing in Extreme Conditions
Christopher Metzler
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Imaging and Sensing in Extreme Conditions
Christopher Metzler
Event
Event
08.29.2025 14:00 to 15:00
Scalable error correction strategies and the memory capacity of open quantum neural networks
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/95105272821?pwd=DWsCPV31ldla5y8ZGwbMAI08N6XBIa.1
Scalable error correction strategies and the memory capacity of open quantum neural networks
09.03.2025 11:00 to 12:30
PhD Proposal: Mediating Cognition: Intent-Driven Agentic Workflows for Iterative, Multi-Stage Problem-Solving
IRB-5165
PhD Proposal: Mediating Cognition: Intent-Driven Agentic Workflows for Iterative, Multi-Stage Problem-Solving
09.04.2025 14:00 to 16:00
PhD Proposal: Building Trust in GenAI: Robust Provenance, AI-Detection Limits, and Multimodal Reliability
IRB-4105 https://umd.zoom.us/j/5680985925
PhD Proposal: Building Trust in GenAI: Robust Provenance, AI-Detection Limits, and Multimodal Reliability
09.04.2025 16:30 to 18:00
PhD Proposal: Knowledge Localization, Editing, and Unlearning in Foundation Models
IRB-5105 https://umd.zoom.us/j/9719759070
PhD Proposal: Knowledge Localization, Editing, and Unlearning in Foundation Models
09.05.2025 11:00 to 12:00
Revisiting what it means to be Usable: Human-Centered Security Beyond End Users
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Revisiting what it means to be Usable: Human-Centered Security Beyond End Users
09.05.2025 12:00 to 13:00
Breakdown of the thermodynamic limit in quantum spin and dimer models
ATL 2400
Breakdown of the thermodynamic limit in quantum spin and dimer models
09.12.2025 11:00 to 12:00
Imaging and Sensing in Extreme Conditions
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Imaging and Sensing in Extreme Conditions