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William H. Press, a computer scientist and computational biologist at The University of Texas at Austin, will provide scientific perspective to the White House, as a recently named member of President Biden's Council of Advisors on Science and Technology (PCAST).

Artificial intelligence has reached a critical turning point in its evolution, according to a new report by an international panel of experts assessing the state of the field for the second time in five years.

For decades, computer chips have gotten denser, faster and more energy efficient. But in recent years, those improvements have slowed to a crawl.

The University of Texas at Austin rose to No. 38 among national universities in U.S. News & World Report's latest undergraduate rankings, climbing four spots since last year.

Ethics will be at the forefront of robotics education thanks to a new University of Texas at Austin program that will train tomorrow's technologists to understand the positive — and potentially negative — implications of their creations.

University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2021 Blavatnik National Awards for Young Scientists.

Computer science seniors América Quistiano and Audra Collins said they would not be here, on the cusp of graduating from one of the best computer science programs in the country, without the Hispanic Association of Computer Scientists and the Association of Black Computer Scientists.

The Association for Computing Machinery has awarded Scott Aaronson the 2020 ACM Prize in Computing for groundbreaking contributions to quantum computing. Aaronson is the David J. Bruton Jr. Centennial Professor of Computer Science at The University of Texas at Austin.

When was the last time you changed out a battery in your house? Studies show that battery-powered devices are used substantially in modern times; Americans use nearly 3 billion batteries every year. Batteries are currently popular because they are able to make electric devices, such as flashlights and watches, portable. However, our usage of batteries extends further than just portable electronic devices. 

The Association for Computing Machinery, the primary professional organization in the field of computer science, has named two University of Texas at Austin professors — Peter Stone and Lizy Kurian John — as ACM Fellows. The award goes only to highly distinguished computer scientists representing the top 1% of ACM members.

Industry analysts say that more data has been collected in the past two years than in all of human history combined. Data about what we buy, what we watch, where we go and who our friends are is constantly being collected and stored. Analyzing all that data and gaining insights from it is the hard part.

A methodical voice tells the watching crowd, "I am going to remove the lid." Everyone is quiet as a robot using artificial intelligence (AI) opens a trash can and lifts out a bag. Students and researchers hold their breath as it navigates across the floor of a mock house, avoiding obstacles to its destination. "Mission accomplished," it says. The trash has been taken out and the audience applauds. This is a huge achievement for the robot designed by a Texas Robotics team for the 2019 RoboCup competition.

We live in an increasingly digital era. Research shows that the average American checks their phone about 58 times daily, and spends an average of 4.5 hours a day on their phone. Without a doubt the amount of time the modern-day person spends on their phones has changed many aspects of how our society functions. For example, in the past decade we have seen a dramatic shift in forms of advertising. Companies are able to take note of people's patterns online and create personalized ads through the use of artificial intelligence (AI).

Many of the decisions we make are now guided by computational simulations, from designing new spacecraft to predicting the spread of a pandemic. But it's not enough for a simulation model to just issue predictions. A decision-maker needs to know just how much those predictions can be trusted.

The National Science Foundation has selected The University of Texas at Austin to lead the NSF AI Institute for Foundations of Machine Learning, bolstering the university's existing strengths in this emerging field. Machine learning is the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments. This technology has the potential to transform everything from transportation to entertainment to health care.