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From the College of Natural Sciences
As AI Becomes Ubiquitous, There are Risks, Says New AI100 Report

As AI Becomes Ubiquitous, There are Risks, Says New AI100 Report

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.

New Materials Could Lead to Computers That Work Like the Human Brain

New Materials Could Lead to Computers That Work Like the Human Brain

Mock-up of a quantum photonic device, which could form part of a neuromorphic computing system. From Silverstone et al., IEEE J. Sel. Top. Quantum Electron. 22, 6 (2016). Licensed under a Creative Commons Attribution 3.0 License.

For decades, computer chips have gotten denser, faster and more energy efficient. But in recent years, those improvements have slowed to a crawl.

UT Austin Climbs in Latest National Undergraduate Rankings

UT Austin Climbs in Latest National Undergraduate Rankings

The University of Texas at Austin rose to No. 38 among national universities in U.S. News & World Report's latest undergraduate rankings, climbing four spots since last year.

Ethical Artificial Intelligence is Focus of New Robotics Program

Ethical Artificial Intelligence is Focus of New Robotics Program

Ethics will be at the forefront of robotics education thanks to a new University of Texas at Austin program that will train tomorrow's technologists to understand the positive — and potentially negative — implications of their creations.

Kristen Grauman Named Finalist in 2021 Blavatnik National Awards for Young Scientists

Kristen Grauman Named Finalist in 2021 Blavatnik National Awards for Young Scientists

University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2021 Blavatnik National Awards for Young Scientists.

Graduating Computer Science Student Leaders Look Back on Diversity and Inclusion Initiatives

Graduating Computer Science Student Leaders Look Back on Diversity and Inclusion Initiatives

Computer science seniors América Quistiano and Audra Collins said they would not be here, on the cusp of graduating from one of the best computer science programs in the country, without the Hispanic Association of Computer Scientists and the Association of Black Computer Scientists.

Aaronson Receives ACM Prize in Computing

Aaronson Receives ACM Prize in Computing

The Association for Computing Machinery has awarded Scott Aaronson the 2020 ACM Prize in Computing for groundbreaking contributions to quantum computing. Aaronson is the David J. Bruton Jr. Centennial Professor of Computer Science at The University of Texas at Austin.

Exploring Passive RFID Tag Use For Sensory Technology

Exploring Passive RFID Tag Use For Sensory Technology

Recent PhD graduate Swadhin Pradhan and his advisor Professor Lili Qiu.

When was the last time you changed out a battery in your house? Studies show that battery-powered devices are used substantially in modern times; Americans use nearly 3 billion batteries every year. Batteries are currently popular because they are able to make electric devices, such as flashlights and watches, portable. However, our usage of batteries extends further than just portable electronic devices. 

UT Austin Professors Named ACM Fellows by the Association for Computing Machinery

UT Austin Professors Named ACM Fellows by the Association for Computing Machinery

The Association for Computing Machinery, the primary professional organization in the field of computer science, has named two University of Texas at Austin professors — Peter Stone and Lizy Kurian John — as ACM Fellows. The award goes only to highly distinguished computer scientists representing the top 1% of ACM members.

Tech Startup Powered by Two Computer Science Professors Teams Up with Intel

Tech Startup Powered by Two Computer Science Professors Teams Up with Intel

Industry analysts say that more data has been collected in the past two years than in all of human history combined. Data about what we buy, what we watch, where we go and who our friends are is constantly being collected and stored. Analyzing all that data and gaining insights from it is the hard part.

Mission Accomplished: Army Futures Command Teams with Texas Robotics

Mission Accomplished: Army Futures Command Teams with Texas Robotics

A methodical voice tells the watching crowd, "I am going to remove the lid." Everyone is quiet as a robot using artificial intelligence (AI) opens a trash can and lifts out a bag. Students and researchers hold their breath as it navigates across the floor of a mock house, avoiding obstacles to its destination. "Mission accomplished," it says. The trash has been taken out and the audience applauds. This is a huge achievement for the robot designed by a Texas Robotics team for the 2019 RoboCup competition.

UT Scientists Use AI to Find Tourist Movement Patterns in Cuzco, Peru

UT Scientists Use AI to Find Tourist Movement Patterns in Cuzco, Peru

We live in an increasingly digital era. Research shows that the average American checks their phone about 58 times daily, and spends an average of 4.5 hours a day on their phone. Without a doubt the amount of time the modern-day person spends on their phones has changed many aspects of how our society functions. For example, in the past decade we have seen a dramatic shift in forms of advertising. Companies are able to take note of people's patterns online and create personalized ads through the use of artificial intelligence (AI).

Predictive Science Research Gets Major Boost Thanks to the Department of Energy

Predictive Science Research Gets Major Boost Thanks to the Department of Energy

Predictive science is crucial to the prediction and modeling of extreme weather. This is a visualization of predicted storm surge on the Louisiana coast caused by Hurricane Laura, the Category 4 Atlantic hurricane that struck Texan shores earlier this year. Credit: Computational Hydraulics Group, Oden Institute.

Many of the decisions we make are now guided by computational simulations, from designing new spacecraft to predicting the spread of a pandemic. But it's not enough for a simulation model to just issue predictions. A decision-maker needs to know just how much those predictions can be trusted.

UT Austin Selected as Home of National AI Institute Focused on Machine Learning

UT Austin Selected as Home of National AI Institute Focused on Machine Learning

The NSF AI Institute for Foundations of Machine Learning and the Machine Learning Laboratory will be administratively housed in the Gates-Dell Complex at The University of Texas at Austin. Photo credit: Vivian Abagiu/University of Texas at Austin.

The National Science Foundation has selected The University of Texas at Austin to lead the 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.

Computer Scientists Explore How Artificial Agents Collaborate on a Shared Task

Computer Scientists Explore How Artificial Agents Collaborate on a Shared Task

There's an (albeit cliché) saying that says that two heads are better than one. Unsurprisingly, this idiom extends to artificial agents. In the field of AI, researchers have been working to understand how to make independent agents, who may have different goals, work together in an environment to complete a shared task. Three researchers in the Department of Computer Science, graduate student Ishan Durugkar, recent doctoral alumnus Elad Liebman, and professor Peter Stone, have been working to solve this problem.