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Experts Forecast the Changes Artificial Intelligence Could Bring by 2030

Experts Forecast the Changes Artificial Intelligence Could Bring by 2030

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.

A new study, titled “Artificial Intelligence and Life in 2030,” looks at the likely effects of AI technologies on urban life. Credit: iStock/Askold Romanov, Mlenny & Tricia Seibold
Q&A with Peter Stone: Where is Artificial Intelligence Headed?

Q&A with Peter Stone: Where is Artificial Intelligence Headed?

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.

College Welcomes New Faculty for 2016-17 Academic Year

College Welcomes New Faculty for 2016-17 Academic Year

The College of Natural Sciences welcomes several new tenured and tenure-track faculty members this fall. Whether improving the performance and reliability of computers, investigating phases of matter, or revealing the impact of climate change on plant and animal life, these diligent and innovative scientists build on the college's reputation for groundbreaking research and research-based teaching.
Scientists Glimpse Inner Workings of Atomically Thin Transistors

Scientists Glimpse Inner Workings of Atomically Thin Transistors

With an eye to the next generation of tech gadgetry, a team of physicists at The University of Texas at Austin has had the first-ever glimpse into what happens inside an atomically thin semiconductor device. In doing so, they discovered that an essential function for computing may be possible within a space so small that it's effectively one-dimensional.

UT Austin Villa Wins at 2016 World RoboCup

UT Austin Villa Wins at 2016 World RoboCup

Five of the SPL team members at the 2016 RoboCup US Open, which the team won. From left to right, they are Katie Genter, Sanmit Narvekar, Josiah Hanna, Josh Kelle and Jake Menashe.

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).

UT Computer Scientist Named Simons Foundation Investigator

UT Computer Scientist Named Simons Foundation Investigator

Computer scientist David Zuckerman of The University of Texas at Austin has been selected as a 2016 Simons Investigator in Theoretical Computer Science by the Simons Foundation for his work in pseudorandomness and randomness extraction.

World's Largest Computer-Generated Math Proof

World's Largest Computer-Generated Math Proof

Computer scientist Marijn Heule and his colleagues have solved a decades-old math challenge known as the boolean Pythagorean Triples problem (BPTP) and, in the process, created the largest mathematical proof ever, at a whopping 200 terabytes.

Why is CGI in the Movies Still So Hard? (Audio)

Why is CGI in the Movies Still So Hard? (Audio)

As the summer movie season kicks into high gear, we talk with a scientist about some of the challenges in simulating the way everyday objects behave on the big screen through computer generated imagery (CGI). Etienne Vouga's computer simulations have helped bring to life a wizard's hair in The Hobbit and clothing in Tangled.

New Method of Producing Random Numbers Could Improve Cybersecurity

New Method of Producing Random Numbers Could Improve Cybersecurity

With an advance that one cryptography expert called a "masterpiece," University of Texas at Austin computer scientists have developed a new method for producing truly random numbers, a breakthrough that could be used to encrypt data, make electronic voting more secure, conduct statistically significant polls and more accurately simulate complex systems such as Earth's climate.

Three Members of Natural Sciences Recognized for Teaching Excellence

Three Members of Natural Sciences Recognized for Teaching Excellence

Three members of the College of Natural Sciences at The University of Texas at Austin have been inducted into the University's respected Academy of Distinguished Teachers for 2016.