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From the College of Natural Sciences
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Fellows Named to the American Association for the Advancement of Science

Fellows Named to the American Association for the Advancement of Science

Five University of Texas at Austin faculty members have been named fellows of the American Association for the Advancement of Science (AAAS), the world's largest general scientific society, including four from the College of Natural Sciences.

Community Rallies for Computer Science Turing Scholars

Community Rallies for Computer Science Turing Scholars

This week, the Department of Computer Science launched a crowdfunding campaign to support emerging computer scientists.

How to Make Better Random Numbers

How to Make Better Random Numbers

University of Texas at Austin computer scientist David Zuckerman has published an article in ​The Conversation​ explaining the importance of random numbers and his new algorithm for generating high quality random numbers from low quality sources.

A Peek Into the Minds of Award-Winning Educators

A Peek Into the Minds of Award-Winning Educators

The College of Natural Sciences is currently celebrating Discovery Education Week to promote and discuss science education throughout the college.

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.