Artificial Intelligence

A new partnership between industrial technology leader Emerson and The University of Texas at Austin will support advanced research into artificial intelligence, automation, energy, semiconductors and more.

In the quest to bring the next evolution of computing to the masses — electronics that can think like the human brain — researchers from The University of Texas at Austin have achieved several key milestones.

Civil engineer Krishna Kumar has developed various outreach initiatives to engage young students in learning about AI.

A team led by scientists and engineers at The University of Texas at Austin created a new “thermal interface material” that could organically remove heat from high-powered electronic devices, reducing or even eliminating the need for extensive cooling of data centers and other electronic devices.

A global artificial intelligence challenge led by Texas Engineers Zoltan Nagy and Javad Mohammadi has been recognized by the Climate Change AI Innovation (CCAI) Grants program.

The smart cities movement has gained momentum, pushed forward by political leaders, scientists, engineers and residents of cities themselves.

Thanks to Luis Sentis and the amazing work happening in his Human Centered Robotics Laboratory, the same type of balance and “natural” control that humans use may soon be experienced by robots.

Tom Truskett and his team believe there is a better way to bring products to market sooner, and it starts with machine learning.

Wang, a pioneer in the integration of data, has begun analyzing driving behavior by interconnecting three different data sources — a driving simulator; a standalone engine, or powertrain; and a fully equipped autonomous vehicle prototype designed by UT researchers.

Where Longhorns once played basketball, robots now play soccer.

This fall, UT hosted several robotics events, with experts from around the world converging on the Forty Acres to discuss the future of the field.

The University of Texas at Austin is boosting its commitment to research and education in quantum science and engineering by establishing the Texas Quantum Institute.

Artificial intelligence could be the defining technology of our time. Texas Engineers are hard at work refining and improving the technology, imagining new ways to deploy AI to solve important problems and putting up guardrails to protect users — and the technology itself.

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.

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.

Texas Engineer Javad Mohammadi has dedicated his research to strengthening power grids, using artificial intelligence to make them more resistant to evolving threats.

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.

Artificial intelligence is quickly becoming embedded in many industries, and aerospace is no exception.

Texas Engineers are creating a new community to unite civil engineers, cyberinfrastructure professionals and experts in artificial intelligence to better understand and protect our virtual and physical infrastructure.

The University of Texas at Austin and Infleqtion, a global quantum technologies company, have signed a memorandum of understanding to develop a new center of excellence for quantum manufacturing. With the recent opening of its flagship corporate office in Austin, Infleqtion will work with UT’s Texas Institute for Electronics (TIE), collaborate with the University’s faculty experts in photonics and quantum technologies, and draw upon its world-class facilities to scale domestic manufacturing capacity for quantum-enabled products in areas such as energy, navigation, defense, and health care.