11/08/2023 - In mathematical optimization, a new approach is emerging, promising to transform how we tackle intricate challenges across various domains. Consider the complexity of bilevel optimization, a problem that has confounded experts in machine learning, engineering, and other fields. Recent advances are providing new insights into this intricate landscape, presenting a streamlined technique that has the potential to significantly enhance our ability to navigate these complex problems.  Read more
08/11/2023 - The Department of Computer Science and the Good Systems program present a one semester-credit-hour course titled “Essentials of AI for Life and Society.” Experts in artificial intelligence predict that AI-powered technologies will continue to become more and more a part of our everyday lives. It will affect how we work, spend our leisure time, make policy decisions and make sense of the world around us. And yet, most of us don’t really understand how the technologies work or what their potential risks and benefits are. Read more
08/05/2022 - The University of Texas at Austin and the MITRE Corporation, a nonprofit dedicated to solving problems for a safer world, have formed a partnership that includes accelerating innovative ethical artificial intelligence (AI) research currently underway by interdisciplinary teams of researchers who are part of UT Austin's Good Systems research grand challenge. Read more
02/23/2022 - An artificial intelligence system made history recently by beating a human world champion in Sony's popular video racing game, Gran Turismo Sport. The technological feat, which made the cover of the journal Nature, involved an AI system designed in part by three University of Texas at Austin computer science Ph.D. alumni and professor Peter Stone. Read more
09/16/2021 - Artificial intelligence has reached a critical turning point in its evolution, according to a new report by an international panel of experts assessing the state of the field for the second time in five years. Read more
01/14/2021 - UT Austin collaborates with Bosch to drive automated research Texas Computer Science has recently launched a collaborative research partnership sponsored by Bosch to explore new frontiers of research on reinforcement learning for automated driving. The partnership was envisioned by Professor Peter Stone of the UTCS faculty and Dr. Kay Stepper, the Senior VP who oversees Bosch’s automated driving efforts in North America.  Read more
01/13/2021 - The Association for Computing Machinery, the primary professional organization in the field of computer science, has named Professor Stone as an ACM Fellow. The award goes only to highly distinguished computer scientists representing the top 1% of ACM members. Read more
11/05/2020 - UT Austin is committed to working with the U.S. military to identify and prioritize research that can quickly be adapted to help protect and defend the nation’s interest. 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
05/21/2020 - The 2020 International Conference on Autonomous Agents and Multi-Agent Systems (AAMS) was held from May 9-13, and Texas Computer Science (TXCS) Professor Peter Stone and alumnus Kurt Dresner were awarded the IFAAMAS Influential Paper Award for their 2008 paper “A multiagent approach to autonomous intersection management.” In additio Read more

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