04/19/2024 -
UT Computer Science is at the forefront of robotics innovation, aiming to propel the field forward. Highlighted in a recent article by KXAN, experts like Dr. Peter Stone and Justin Hart showcased their work, including advancements in generative AI, which is integral to tasks ranging from domestic chores to humanoid robot soccer, a part of the RoboCup Federation's ambitious goal of a robot team winning the World Cup by 2050.
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03/14/2024 -
Researchers at The University of Texas at Austin have developed innovative tools, including an AI system and glowing biosensors, to engineer microbes for the large-scale production of galantamine, a crucial medication for Alzheimer's and dementia. This breakthrough method promises a reliable, cost-effective supply unaffected by factors like weather or crop yields.
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02/01/2024 -
Picture two rigid metal pieces tangled together. What steps would you take to untangle them?
The most straightforward approach involves twisting each wire to line up the gaps and then pulling one through the other. The design of wire puzzles becomes more complex, like the ones below.
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01/25/2024 -
The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world to lead in research and offer world-class AI infrastructure to a wide range of partners.
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11/08/2023 -
In mathematical optimization, a new approach is emerging, promising to transform how we tackle intricate challenges across various domains. Consider the complexity of bilevel optimization, a problem that has confounded experts in machine learning, engineering, and other fields. Recent advances are providing new insights into this intricate landscape, presenting a streamlined technique that has the potential to significantly enhance our ability to navigate these complex problems.
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11/02/2023 -
Smriti Singh spends a lot of time on social media. But, not in the way most students do.
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09/27/2023 -
The work of researchers from The University of Texas at Austin’s Department of Computer Science in crash consistency has yielded a breakthrough innovation—the Chipmunk system. At its core, Chipmunk zeroes in on a crucial mission—meticulously testing file systems to identify and tackle crash consistency bugs that can significantly impact data integrity and system reliability. The UT Austin team has produced a promising solution that could pave the way for a new era in data storage and stability.
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05/01/2023 -
The work relies in part on a transformer model, similar to the ones that power ChatGPT
A new artificial intelligence system called a semantic decoder can translate a person’s brain activity — while listening to a story or silently imagining telling a story — into a continuous stream of text. The system developed by researchers at The University of Texas at Austin might help people who are mentally conscious yet unable to physically speak, such as those debilitated by strokes, to communicate intelligibly again.
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04/21/2023 -
UT Computer Science Ph.D. Garrett Bingham’s research under Professor Risto Miikkulainen in smart automated machine learning has made significant steps toward more efficient neural network systems.
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04/11/2023 -
AUSTIN, Texas — The University of Texas at Austin and Amazon are launching a science and engineering research partnership to enhance understanding in a variety of areas, including video streaming, search and information retrieval and robotics.
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