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A glass wall can look like an open path to a robot. Reflections and transparency can fool its sensors, leaving it with a faulty map—and a route that could end in a collision. University of...read more
Eric Gilerson’s single-author paper explores a method for performing exact arithmetic within language models.
When asked to multiply two numbers, a language model may predict the answer based on patterns in its training data rather than perform the calculation directly. University of Maryland undergraduate Eric Gilerson is investigating a...read more
Huang develops methods to reduce data demands and address hardware errors in scientific computing and artificial intelligence systems.
As scientific facilities and artificial intelligence systems process growing amounts of data, researchers must contend not only with computing speed but also with the cost of moving and storing information and the possibility of hardware...read more
The four-year initiative will use AI and automation to support remotely accessible biomanufacturing experiments, with Liu co-leading the lab's data and AI systems.
Biomanufacturing underpins products ranging from vaccines to cancer therapies, but developing those products can require experiments that are time-consuming, costly and difficult to reproduce. A new University of Maryland-led project is bringing together artificial intelligence,...read more
The projects aim to predict hospital readmissions in high-risk heart failure patients and establish reliable methods for evaluating the safety and performance of AI-enabled medical imaging systems.
University of Maryland computer scientist Heng Huang is part of two new federally funded projects aimed at improving the use of artificial intelligence in healthcare: a four-year, $1.2 million award to develop a wearable device...read more
Watch someone pour almonds into a bowl, and the action is easy to follow: a container moves, tilts and releases its contents. Teaching a robot to do the same can require costly demonstrations specifying how...read more
The Fall 2026 event brought 1,169 students together with representatives from 59 employers seeking candidates for internships and full-time positions.
The University of Maryland Department of Computer Science brought 1,169 students and representatives from 59 employers together at its Fall 2026 Career and Internship Fair on Sept. 28. Held at the Adele H. Stamp Student...read more
Jared Wolinsky (B.S. ’09, computer science) credits his University of Maryland education and the QUEST Honors Program for preparing him for his current role as group vice president of software engineering at SiriusXM.
He started tinkering with computers in elementary school. Using an old IBM machine his grandfather passed down to his family, Wolinsky learned Visual Basic—an early programming language developed by Microsoft for Windows. At first, he...read more
Upcoming Events
Talk
10.16.2026 11:00 to 12:30
PhD Proposal: Toward a Haptic Codec: Composing Perceptual Mechanisms Into a Programmable Haptic Medium
Zining Zhang
PhD Proposal: Toward a Haptic Codec: Composing Perceptual Mechanisms Into a Programmable Haptic Medium
Zining Zhang
Talk
10.16.2026 11:00 to 12:00
Detecting and Characterizing AI Use in Writing
Mohit Iyyer
IRB 2107 or Zoom https://umd.zoom.us/j/91267609044?pwd=g4uLkhpH4T8d2Gln0HXg6s4qaxzpbj.1
Detecting and Characterizing AI Use in Writing
Mohit Iyyer
Event
Talk
10.16.2026 15:00 to 16:30
PhD Defense: Improving Deep Networks by Learning from Their Failures and Successes
Matthew Walmer
PhD Defense: Improving Deep Networks by Learning from Their Failures and Successes
Matthew Walmer
Event
Talk
10.20.2026 13:00 to 15:30
PhD Defense: The Anatomy of Trust in Foundation Models: Representations, Reasoning, and Alignment
Atoosa Malemir Chegini
PhD Defense: The Anatomy of Trust in Foundation Models: Representations, Reasoning, and Alignment
Atoosa Malemir Chegini
Talk
10.21.2026 15:30 to 16:30
Characterizing and Mitigating Performance Variability in Accelerator-Rich Systems
Matt Sinclair
University of Wisconsin-Madison
IRB 4105
Characterizing and Mitigating Performance Variability in Accelerator-Rich Systems
Matt Sinclair
University of Wisconsin-Madison
Event
Talk
10.23.2026 10:00 to 11:00
Specifications, Tests, and Audits: the Building Blocks of First-Year CS in an Agentic Era
Kathi Fisler
Brown University
IRB 1116 or Zoom https://umd.zoom.us/j/99365998212?pwd=CEJUNoBeooaDkYchGXoRdmGyCMESLM.1
Specifications, Tests, and Audits: the Building Blocks of First-Year CS in an Agentic Era
Kathi Fisler
Brown University
Event
10.16.2026 10:00 to 12:00
PhD Defense: Exploring quantum dynamics with analog quantum simulators
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/2305684852?pwd=czBlbjREek1kQVRITEtmZmhlUHg1dz09&om... Meeting ID: 230 568 4852 Passcode: 3fZcEv
PhD Defense: Exploring quantum dynamics with analog quantum simulators
10.16.2026 11:00 to 12:00
Detecting and Characterizing AI Use in Writing
IRB 2107 or Zoom https://umd.zoom.us/j/91267609044?pwd=g4uLkhpH4T8d2Gln0HXg6s4qaxzpbj.1
Detecting and Characterizing AI Use in Writing
10.16.2026 11:00 to 12:30
PhD Proposal: Toward a Haptic Codec: Composing Perceptual Mechanisms Into a Programmable Haptic Medium
PhD Proposal: Toward a Haptic Codec: Composing Perceptual Mechanisms Into a Programmable Haptic Medium
10.16.2026 12:00 to 13:00
Hybrid continuous-discrete variable quantum computing on trapped-ion platforms
ATL 2400
Hybrid continuous-discrete variable quantum computing on trapped-ion platforms
10.16.2026 15:00 to 16:30
PhD Defense: Improving Deep Networks by Learning from Their Failures and Successes
PhD Defense: Improving Deep Networks by Learning from Their Failures and Successes
10.20.2026 13:00 to 15:30
PhD Defense: The Anatomy of Trust in Foundation Models: Representations, Reasoning, and Alignment
PhD Defense: The Anatomy of Trust in Foundation Models: Representations, Reasoning, and Alignment
10.21.2026 15:30 to 16:30
Characterizing and Mitigating Performance Variability in Accelerator-Rich Systems
IRB 4105
Characterizing and Mitigating Performance Variability in Accelerator-Rich Systems