03/03/2021 -
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 from just portable electronic devices.
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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.
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11/06/2020 -
This fall, the National Science Foundation selected The University of Texas at Austin — a world leader in artificial intelligence research — to lead a new, $20 million national institute for machine learning.
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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.
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10/28/2020 -
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.
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10/06/2020 -
A group of Texas Computer Science (TXCS) researchers from the Autonomous Mobile Robotics Laboratory (AMRL) comprising Joydeep Biswas, Sadegh Rabiee, Jarrett Holtz, Kavan Sikand, Max Svetlik, and John Bachman (UMass Amherst) have reached an incredible milestone in their research: deploying an autonomous robot that autonomously navigates on the campus-scale, resilient to everyday changes and varying conditions.
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10/05/2020 -
Source: College of Natural Sciences
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.
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08/31/2020 -
A team comprising Texas Computer Science (TXCS) Ph.D. student Santhosh Ramakrishnan, postdoctoral researcher Ziad Al-Halah, and TXCS Professor Kristen Grauman recently won first place in the 2020 Habitat visual navigation challenge held at the Conference on Computer Vision and Pattern Recognition (CVPR).
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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.
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