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A new study highlights the potential for Texas to become a global leader in the development of a robust hydrogen economy.
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In new research, Texas Engineers gave tiny robots the same organizing abilities as schools of fish to form "smart swarms."
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Imagine playing a racing game like Mario Kart, using only your brain to execute the complex series of turns in a lap.
This is not a video game fantasy, but a real program that engineers at The University of Texas at Austin have created as part of research into brain-computer interfaces to help improve the lives of people with motor disabilities.
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A new partnership between The University of Texas at Austin, Austin Community College District and Texas Institute for Electronics (TIE) will make Central Texas a premier hub for comprehensive workforce development that will fuel the needs of America’s semiconductor industry.
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A new five-year integrated bachelor’s degree in computational engineering and master’s degree in computational science, engineering, and mathematics will launch this fall, adding to the already popular undergraduate computational engineering degree.
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A pair of Texas Engineering faculty members have been inducted into the American Institute for Medical and Biological Engineering’s (AIMBE) College of Fellows.
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A new master’s degree program at The University of Texas at Austin aims to help fill demand for semiconductor scientists and engineers and give students a chance to lead the next wave of innovation in the booming semiconductor industry.
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A new National Institutes of Health-funded project by three scientists at The University of Texas at Austin and University of Rhode Island aims to shed light on real-world eating behaviors, using AI-enabled wearable technology.
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When people learn things they should not know, getting them to forget that information can be tough. This is also true of rapidly growing artificial intelligence programs that are trained to think as we do, and it has become a problem as they run into challenges based on the use of copyright-protected material and privacy issues.
To respond to this challenge, researchers at The University of Texas at Austin developed what they say is the first "machine unlearning" method applied to image-based generative AI.
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As South by Southwest (SXSW) Pitch returns for its 16th iteration, this year’s finalists include a pair of Texas Engineering-led startups.
MACH Transit and Paradigm Robotics have each come up with innovative solutions to address some unique needs within different technology sectors.