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From NeurIPS research to completing an Ironman and developing Promptly AI, Sankaralingam’s journey highlights exploration and growth in computer science.
For many students, college is a time of exploration, self-discovery and growth—both academically and personally. At the University of Maryland, this transformative experience has guided students like junior computer science major Ananth Sankaralingam (B.S. ’26,...read more
QuICS marks a decade of innovation as UMD accelerates quantum science initiatives.
The Joint Center for Quantum Information and Computer Science (QuICS) at the University of Maryland celebrated its 10th anniversary on Thursday, January 23, 2025, at the Brendan Iribe Center for Computer Science and Engineering ...read more
Exploring the intersection of faith, culture and STEM education.
In Western cultures, science, technology, engineering and math (STEM) research is known for its rigid procedural methodology. Most experimental research in STEM relies on objectivity and the removal of bias. However, Vivian Ali Zohery ’17,...read more
Founders Samai Patel and Nand Vinchhi embark on a journey to help companies reduce their architectural tech debt.
Startups often embark on transformative journeys, navigating challenges and seizing opportunities to bring their ideas to life. Few paths are as impactful as being accepted into Y Combinator , the prestigious accelerator known for propelling...read more
Jim Purtilo discusses the effectiveness of cybersecurity labels and their potential impact on consumer trust.
The White House introduced a new label for Internet-connected devices this week after a public notice and input period that spanned eight months. The U.S. Cyber Trust Mark, which was authorized by the Federal Communications...read more
Gao’s research focuses on multisensory learning and machine intelligence.
Ruohan Gao will join the University of Maryland’s Department of Computer Science as an assistant professor, where he will lead the Multisensory Machine Intelligence Group. His research centers on computer vision and machine learning, focusing...read more
Researchers test the reliability of digital watermarks in addressing AI-generated content challenges.
As AI-generated images become increasingly more realistic, they present both opportunities and challenges. While such advancements can enable creative applications and enhance visual storytelling, they can also fuel the spread of disinformation or cast doubt...read more
Iyyer’s research focuses on natural language processing and machine learning.
Mohit Iyyer will join the University of Maryland’s Department of Computer Science as an associate professor, marking a return to the institution where he earned his Ph.D. in 2017. His research centers on natural language...read more
Upcoming Events
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01.29.2025 11:00 to 12:00
Quantifying semantic predictability and its role in language comprehension and production
5105
Quantifying semantic predictability and its role in language comprehension and production
01.30.2025 11:30 to 12:30
Quantum thermodynamics of nonequilibrium processes in lattice gauge theories
PSC 2136 and Virtual Via Zoom: https://umd.zoom.us/j/91598475595?pwd=qZyWafZEggSpDuIxwNnlwxMbnEkb5Z.1
Quantum thermodynamics of nonequilibrium processes in lattice gauge theories
02.05.2025 11:00 to 12:00
Entanglement in dual-unitary quantum circuits with impurities
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/93193341356?pwd=eP1zjLaqybtvE4n9ozwR3cfxqZVbEb.1 Meeting ID: 931 9334 1356 Passcode: 760966
Entanglement in dual-unitary quantum circuits with impurities
02.10.2025 16:00 to 17:00
Career Connections: Aleksander Kubica at Yale University
402, YQI Seminar Room (Yale University) and Virtual Via Zoom: https://umd.zoom.us/j/99617879814
Career Connections: Aleksander Kubica at Yale University
02.17.2025 11:00 to 12:00
Permutation-invariant quantum error correction codes: from theory to practice
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/9893676372?pwd=VVNOd2xNZ3FCblk4aFdTMjkzTllvQT09&om... Meeting ID: 989 367 6372 Passcode: abc123
Permutation-invariant quantum error correction codes: from theory to practice