Artificial Intelligence

Krishna Kumar’s Vision for AI Education

Fri, 01 Nov 2024 05:32:08 -0500

Civil engineer Krishna Kumar has developed various outreach initiatives to engage young students in learning about AI.

New Thermal Interface Material Could Cool Down Energy-Hungry Data Centers

Tue, 22 Oct 2024 13:52:47 -0500

A team led by scientists and engineers at The University of Texas at Austin created a new “thermal interface material” that could organically remove heat from high-powered electronic devices, reducing or even eliminating the need for extensive cooling of data centers and other electronic devices.

CityLearn Challenge Gets a Boost from Climate Change AI Program

Wed, 26 Jun 2024 14:39:22 -0500

A global artificial intelligence challenge led by Texas Engineers Zoltan Nagy and Javad Mohammadi has been recognized by the Climate Change AI Innovation (CCAI) Grants program.

Robot SZN

Tue, 28 May 2024 16:01:19 -0500

This fall, UT hosted several robotics events, with experts from around the world converging on the Forty Acres to discuss the future of the field.

New Advanced Quantum Science Institute Will Bridge Basic Research and Applied Science

Fri, 05 Apr 2024 10:37:01 -0500

The University of Texas at Austin is boosting its commitment to research and education in quantum science and engineering by establishing the Texas Quantum Institute.

Guiding AI

Tue, 26 Mar 2024 14:26:47 -0500

Artificial intelligence could be the defining technology of our time. Texas Engineers are hard at work refining and improving the technology, imagining new ways to deploy AI to solve important problems and putting up guardrails to protect users — and the technology itself.

Scientists to Study Real-World Eating Behaviors Using Wearable Sensors and AI

Tue, 19 Mar 2024 08:28:46 -0500

A new National Institutes of Health-funded project by three scientists at The University of Texas at Austin and University of Rhode Island aims to shed light on real-world eating behaviors, using AI-enabled wearable technology.

Machine 'Unlearning' Helps Generative AI 'Forget' Copyright-protected and Violent Content

Tue, 12 Mar 2024 13:19:34 -0500

When people learn things they should not know, getting them to forget that information can be tough. This is also true of rapidly growing artificial intelligence programs that are trained to think as we do, and it has become a problem as they run into challenges based on the use of copyright-protected material and privacy issues.

To respond to this challenge, researchers at The University of Texas at Austin developed what they say is the first "machine unlearning" method applied to image-based generative AI.

How AI Can Bolster Power Grid's Resistance to Weather, Cyberattacks

Wed, 21 Feb 2024 15:26:10 -0600

Texas Engineer Javad Mohammadi has dedicated his research to strengthening power grids, using artificial intelligence to make them more resistant to evolving threats.

New Texas Center Will Create Generative AI Computing Cluster Among Largest of Its Kind

Thu, 25 Jan 2024 11:00:04 -0600

The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world to lead in research and offer world-class AI infrastructure to a wide range of partners.

UT Aerospace Engineer Joins AI Advisory Group

Wed, 10 Jan 2024 15:18:53 -0600

Artificial intelligence is quickly becoming embedded in many industries, and aerospace is no exception.

AI-Powered Civil Engineering: New NSF-backed Community Aims to Transform U.S. Infrastructure

Wed, 29 Nov 2023 14:58:20 -0600

Texas Engineers are creating a new community to unite civil engineers, cyberinfrastructure professionals and experts in artificial intelligence to better understand and protect our virtual and physical infrastructure.

Texas Institute for Electronics and Infleqtion Launch Quantum Manufacturing Center of Excellence

Wed, 04 Oct 2023 12:06:37 -0500

The University of Texas at Austin and Infleqtion, a global quantum technologies company, have signed a memorandum of understanding to develop a new center of excellence for quantum manufacturing. With the recent opening of its flagship corporate office in Austin, Infleqtion will work with UT’s (TIE), collaborate with the University’s faculty experts in photonics and quantum technologies, and draw upon its world-class facilities to scale domestic manufacturing capacity for quantum-enabled products in areas such as energy, navigation, defense, and health care.

New Research Aims to Fix Machine Learning’s Struggle with Uncertainty

Fri, 09 Jun 2023 09:48:41 -0500

When new technology meets the real world, dynamic challenges threaten to derail progress, like a self-driving car that struggles to perceive rapid changes in the environment and adjust.

Artificial Neurons Mimic Complex Brain Abilities for Next-Generation AI Computing

Mon, 15 May 2023 11:40:15 -0500

For decades, scientists have been investigating how to recreate the versatile computational capabilities of biological neurons to develop faster and more energy-efficient machine learning systems. One promising approach involves the use of memristors: electronic components capable of storing a value by modifying their conductance and then utilizing that value for in-memory processing.

5 Questions with Yuebing Zheng, Author of New Book on Nanophotonics

Thu, 04 May 2023 15:37:07 -0500

How light interacts with matter is one of the most basic, yet important branches of science. A growing area in this field is nanophotonics, which studies these interactions at the smallest of scales where material building blocks begin to exhibit dynamic properties.

The Quest to Use AI to Make Buildings More Efficient

Wed, 04 Jan 2023 14:28:23 -0600

The landscape of buildings that populate cities around the world are both major contributors to greenhouse gas emissions, and potentially, significant suppliers of energy to the electrical grid. As a result, there is a movement around the world, across multiple industries, to better control building emissions and energy usage.

A competition created by researchers at The University of Texas at Austin challenges teams of engineers and scientists to deploy artificial intelligence to improve building energy consumption. Now in its third year, the CityLearn Challenge is the biggest it’s ever been, with more than 600 people from 50 countries, across roughly 100 teams, participating.

‘Off Label’ Use of Imaging Databases Could Lead to Bias in AI Algorithms

Wed, 23 Mar 2022 22:05:10 -0500

Significant advances in artificial intelligence over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used “off label” and applied in unintended ways, the results are subject to machine learning bias that compromises the integrity of the AI algorithm, according to a new study by researchers at The University of Texas at Austin and the University of California, Berkeley.

UT Austin and Cisco Form Research Partnership

Wed, 16 Feb 2022 11:52:04 -0600

The University of Texas at Austin and tech giant Cisco struck a research agreement that will begin with an emphasis on artificial intelligence and machine learning before branching out into additional technologies in the future. As part of the five-year partnership, Cisco Research will provide funding and expertise for four AI/ML research projects and one cybersecurity research project over the next year. The researchers from the ラーメンベット禁止ゲーム of Engineering and College of Natural Sciences will delve into several different areas of AI and ML, including Internet of Things, computer vision, training learning networks and more.

Texas Engineers Play Critical Role in New NSF AI Institutes

Thu, 29 Jul 2021 10:50:31 -0500

The National Science Foundation just announced 11 new artificial intelligence institutes across the nation, and researchers from the ラーメンベット禁止ゲーム of Engineering at The University of Texas at Austin will play prominent roles in two of them. UT Austin was already among the top universities in the world for AI, and its involvement in these new institutes bolsters its strength in this emerging area. Last year, the university was selected by NSF to lead an AI institute focused on machine learning, the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments.