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The University of Maryland is leading a multi-institutional effort to design, build and test novel simulation tools to advance quantum computing. Funded by NSF and supported by UMIACS, the $25 million institute includes computer scientists, engineers and physicists from Duke, Princeton, North Carolina State, Yale and NIST.
As facilities coordinator, the U.S. Navy veteran manages UMIACS and CS spaces and equipment in the Iribe Center, A.V. Williams Building, and Atlantic Building.
A self-described games enthusiast, Zhang's research lies at the intersection of machine learning, reinforcement learning, game theory, and control theory.
Working at the intersection of machine learning and natural language processing, his goal is to make AI more human-like by teaching it to learn and make decisions the way people do.
Huaishu Peng is part of a team that's developed a robot designed to traverse a dancer's body and instruct them as the audience members choreograph the performance in real-time.
Backed by a $2 million grant from NSF, Abhinav Shrivastava is part of a team developing a portable, biologically-based device capable of identifying odors in the built environment.
Louiqa Raschid and Ge Gao are part of a team building an AI-powered platform to help autistic individuals navigate the challenges of communicating with neurotypical colleagues.
A UMIACS–supported workshop on the future of academic research in the era of pre-trained models took place in the Iribe Center.
The award recognizes and funds innovative projects that push the boundaries of foundational models and their potential applications. 
The award is one of the top advocacy awards given each year by Research!America, a nonprofit alliance that supports funding and policy related to medical and health research.
Rita Colwell says that the pathogenic Vibrio bacteria are on the rise due to climate change.
The theoretical physicist was recognized for her innovative writing to spark public interest in physics and quantum thermodynamics.
Scientists have shown that simulating models of hypothetical time travel can solve experimental problems that appear impossible to solve using standard physics.
Alexey Gorshkov and Dominik Hangleiter have found a partial answer to the conundrum of what powers quantum complexity.
Soheil Feizi's research on the unreliability of existing watermarking technologies was featured in MIT Technology Review.
In an article published in Politico, Ben Shneiderman weighed in on the complexities of an idea that is gaining popularity: requiring mandatory safety audits of AI models before they can be released.

“If quantum mechanics hasn’t profoundly shocked you, you haven’t understood it yet.” –Niels Bohr

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