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In the same way that barcodes on your groceries help stores know what's in your cart, DNA barcodes help biologists attach genetic labels to biological molecules to do their own tracking during research, including of how a cancerous tumor evolves, how organs develop or which drug candidates actually work. Unfortunately with current methods, many DNA barcodes have a reliability problem much worse than your corner grocer's. They contain errors about 10 percent of the time, making interpreting data tricky and limiting the kinds of experiments that can be reliably done.

Jacob Van Geffen started coding early. He loved the feeling of creating something from scratch. Before he came to The University of Texas at Austin, he knew that he wanted others to be able to experience that feeling as well. He was passionate about making programming easier and more accessible for all people.

Tuesday marks the 50^th anniversary of "2001: A Space Odyssey." The groundbreaking science-fiction film earned an Academy Award for Best Visual Effects and appears on several of the American Film Institute's Top 100 lists. But what many remember best about the movie is HAL 9000, the murderous artificial intelligence aboard the spaceship that has been ranked cinema's 13^th best villain.

​The UT Game and Mobile Media Applications (GAMMA) program was established six years ago upon a simple principle: humans like to play.

Undergraduate student Ashlie Martinez has been selected as an awardee of the 2018 Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award.

Nature has a way of making complex shapes from a set of simple growth rules. The curve of a petal, the swoop of a branch, even the contours of our face are shaped by these processes. What if we could unlock those rules and reverse engineer nature's ability to grow an infinitely diverse array of shapes?

With recent talk of a "bro culture" in Silicon Valley and accusations of sex discrimination in the technology sector, some in the College of Natural Sciences' Department of Computer Science are taking it upon themselves to build a culture of inclusion.

Computer scientist Scott Aaronson of The University of Texas at Austin has been selected as a 2017 Simons Investigator in Theoretical Computer Science by the Simons Foundation for his work in quantum computation.

Two undergraduate students at the University of Texas at Austin and their faculty co-authors have won a best paper award from the Association for Computing Machinery. They presented their paper, which focuses on making 3D printing more efficient, at the Genetic and Evolutionary Computation Conference on July 18. Their paper was one of two nominated in the Real World Applications category.

Quantum computers might sound like science fiction. A fully functioning quantum computer could complete calculations in a matter of seconds that would take a conventional computer millions of years to process.

Kristen Grauman, associate professor in the Department of Computer Science, has been inducted into The University of Texas at Austin's respected Academy of Distinguished Teachers for 2017.

​At its annual meeting today, the Austin Chamber of Commerce recognized the chair of the Department of Computer Science for his outstanding contributions toward improving the local technology sector.

A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city — in areas diverse as transportation, healthcare and education — and spur discussion of how to ensure the safe, fair and beneficial development of these rapidly emerging technologies.

Peter Stone, a professor of computer science at The University of Texas at Austin, led a groundbreaking study on artificial intelligence (AI) being released today. The study, produced by a panel of 17 experts from around the world, looks at how specialized applications of AI might affect life in a typical North American city by the year 2030.

The UT Austin Villa robot soccer team, led by University of Texas at Austin computer science professor Peter Stone, returned from the 2016 RoboCup competition in Leipzig, Germany as the world champions in the 3D Simulation league and with an impressive second-place win in the Standard Platform League (SPL).