08/26/2020 - The National Science Foundation has selected The University of Texas at Austin to lead 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. Read more
07/17/2020 - Imagine that you are a robot in a hospital: composed of bolts and bits, running on code, and surrounded by humans. It’s your first day on the job, and your task is to help your new human teammates—the hospital’s employees—do their job more effectively and efficiently. Mainly, you’re fetching things. You’ve never met the employees before, and don’t know how they handle their tasks. How do you know when to ask for instructions? At what point does asking too many questions become disruptive? Read more
06/24/2020 - Note: the original article was written for and published on the Texas Advanced Computing Center website. Authorship credit goes to Faith Singer-Villalobos. Read more
06/22/2020 - Story by Cason Hunwick for the College of Natural Science's News Page.  University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2020 Blavatnik National Awards for Young Scientists. Read more
03/25/2020 - The promise of artificial intelligence to solve problems in drug design, discover how babies learn language, and make progress in many other areas has been stymied by the inability of humans to understand what's going on inside AI systems. Researchers at six universities, including The University of Texas at Austin, are launching a partnership aimed at turning these AI "black boxes" into human-interpretable computer code, allowing them to solve hitherto unsolvable problems. Read more
01/23/2020 - The race to build the best autonomous cargo vehicle is heating up, indicating big developments for the $700 billion U.S. trucking market. With the rise of e-commerce comes the accompanying need for more efficiently delivered goods, a demand that the transportation industry is not currently equipped to cope with. Self-driving trucks could solve this problem by simultaneously decreasing the cost and increasing the safety of freight transport. Read more
11/22/2019 - In a sign of the highly competitive environment for top talent in the field of artificial intelligence (AI), the Sony Corporation this week tapped Peter Stone, a faculty member in the College of Natural Sciences at The University of Texas at Austin, to lead the newly established  Sony AI in the United States. Read more
10/28/2019 - College of Natural Sciences News by Esther R Robards-Forbes People turn to many different sources for clothing style advice, from magazines to best friends to Instagram. Soon, though, you may be able to ask your smartphone. 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
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

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