06/19/2019 - Marc G Airhart | College of Natural Sciences Computer scientist Brent Waters of The University of Texas at Austin has been selected as a 2019 Simons Investigator in Theoretical Computer Science by the Simons Foundation, for his work in cryptography and computer security. Read more
06/17/2019 - Calvin Lin, a Texas Computer Science Distinguished Teaching Professor, won the 2019-20 William David Blunk Memorial Professorship. The professorship recognizes a member of the faculty who has demonstrated an exceptional record in undergraduate teaching, and who shows special interest in and on behalf of undergraduate students. Read more
05/16/2019 - Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions. Read more
05/10/2019 - Is my code fast? Can it be faster? Scientific computing, machine learning, and data science are about solving problems that are compute intensive. Choosing the right algorithm, extracting parallelism at various levels, and amortizing the cost of data movement are vital to achieving scalable speedup and high performance. Read more
05/06/2019 - Peter Stone, a professor of computer science at The University of Texas at Austin, has won the Minnie Stevens Piper Teaching Award, which celebrates outstanding postsecondary teaching.   Since 1958, the Minnie Stevens Piper Foundation, a non-profit, charitable corporation focused on postsecondary education in Texas, has selected excellent educators from four- and two-year institutions from across Texas to be named "Piper Professors" for their superior teaching at the college level.   Read more
04/30/2019 - There is a certain “grow fast or die slow” paradigm in the present-day computing industry. Software and technological innovations are in a period of massive growth and flux—change is so rapid that even today’s laws are lagging behind. Texas Computer Science and Texas Law professors argue that under current circumstances, it is also important to consider the ways in which the legal field is evolving to adapt to these technological changes as well as examine the further ethical implications of computing. Read more
04/19/2019 - Water, sunlight, nutrients—these ingredients are essential for plant growth. However, these basic ingredients don’t always yield the ideal plant. In fact, optimizing these variables is complicated, causing some plants to fall flat on flavor. Machine learning can help. Read more
04/16/2019 - Texas Computer Science assistant professors Qiang Liu and Philipp Krähenbühl were selected for the National Science Foundation’s CAREER Award. This is the most prestigious award in support of early-career faculty. NSF awards this distinction to junior faculty who demonstrate potential to serve as academic role models in research and education. With this award, NSF provides researchers with federal funding, and the opportunity to lead advances in their department and institution. Read more
04/11/2019 - Imagine a world where accessing and interacting with technology doesn’t require keyboard or voice input—just a quick mental command. Imagine “speech prosthesis” technology that would allow people who are unable to communicate verbally to speak without expensive and highly customized interfaces. Imagine a device that could read a users’ mind, and automatically send a message, open a door, or buy a birthday present for a family member. Read more
03/06/2019 - Gene-editing or genome engineering is the altering of DNA within a living organism. Once believed to be far-fetched and unthinkable, it is becoming more and more common due to scientific breakthrough techniques like CRISPR. What most people don’t know though is the use of computing tools in conjunction with CRISPR make gene-editing as efficient and mistake-free as possible—making it a viable cure to deadly genetic diseases. Read more

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