A man sitting at a desk with a laptop in front of him.

Researchers Develop New Method to Predict and Optimize Performance of Deep Learning Models

March 30, 2022
Over the past decade, the world has seen tremendous increases in the deployment of artificial intelligence (AI) technology. The main horsepower behind the success of AI systems is provided by deep learning models and machine learning (ML) algorithms. Recently, a new AI paradigm has emerged: Automated Machine Learning (AutoML) including its subfield Neural Architecture Search (NAS). State-of-the-art ML models consist of complex workflows with numerous design choices and variables that must be tuned for optimal performance.
A young man smiling in a blue shirt.

How New Machine Learning Techniques Could Improve MRI Scans

Jan. 13, 2022
WNCG professor Jon Tamir aims to leverage machine learning techniques to make brain scans faster and more informative. He received an Amazon Machine Learning Research Award in 2020 from Amazon Web Services (AWS) to support the work. A recent article on Amazon Science explored the details of Prof. Tamir's research on MRI scans.
A diagram showing the components of an ecg chip.

Wireless E-Tattoo for Pneumonia Aims to Transform Patient Monitoring

Sept. 24, 2021
Pneumonia has emerged as a life-threatening complication of COVID-19, accounting for nearly half of all patients who have died from the novel coronavirus in the U.S. since the beginning of the pandemic. Even before the onset of the COVID-19 pandemic, pneumonia was responsible for more than 43,000 deaths in 2019.
A man wearing glasses and a hoodie standing in front of a wall.

Tianlong Chen Selected for IBM Fellowship

May 5, 2021
IBM recently announced the awardees of this year’s IBM Ph.D. Fellowship Program. WNCG student Tianlong Chen was among only 16 students selected worldwide for 2021. According to IBM, the Fellowship Awards Program is “intensely competitive.” Awardees are exceptional Ph.D. students conducting research in promising and disruptive technologies, particularly: Hybrid Cloud; Quantum Computing / Quantum Systems; Artificial Intelligence; Cloud / Open Source Technologies; Security / Cyber Security; Data Science; and Systems.
Adobe data science research awards.

Atlas Wang Receives Adobe Data Science Research Award

Oct. 13, 2020
WNCG professor Atlas Wang received a Data Science Research Award from Adobe for his work on “Towards Automated Design of Efficient Deep Multi-Modal Recommendation Models.” Every year, Adobe funds a university faculty research program to “promote the understanding and use of data science in the area of marketing with the goal “to encourage both theoretical and empirical development of solutions to problems in marketing.”
A man in glasses standing in an office with his arms crossed.

Aryan Mokhtari Receives NSF Grant to Research Optimization Algorithms for Large-Scale Learning

Sept. 29, 2020
WNCG professor Aryan Mokhtari has received a grant from the National Science Foundation (NSF) to study Computationally Efficient Second-Order Optimization Algorithms for Large-Scale Learning. The project “lays out an agenda to develop a class of memory efficient, computationally affordable, and distributed friendly second-order methods for solving modern machine learning problems.”
A large building with a lot of windows.

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

Aug. 26, 2020
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.
A collage of people with different facial expressions.

UT Austin Launches Institute to Harness the Data Revolution

Nov. 6, 2019
Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.
A man with glasses and a beard standing in front of a building.

AI can now defend itself against malicious messages hidden in speech

May 17, 2019
Text was considered relatively safe from adversarial attacks, because, whereas a malicious agent can make minute adjustments to an image or waveform of sound, it can’t alter a word by, say, 1%. But Prof. Alex Dimakis of Texas ECE and his collaborators have investigated a potential threat to text-comprehension AIs.  The research was led by UT student Qi Lei and collaborators at IBM Research and Amazon. The study was published in SysML 2019 and covered by Nature News. 
Texas wireless summit 2018 logo.

Recap: WNCG Hosts 16th Annual Texas Wireless Summit

Dec. 19, 2018
The Engineering Education and Research Center at The University of Texas was abuzz with over 200 participants gathered for Texas Wireless Summit (TWS) on November 6. This year’s theme was “AI and the Mobile Device.”Held annually by WNCG, TWS brings together leading figures in industry, academia, and government to discuss the latest developments in information systems technology. “AI and the Mobile Device” marked the 16th summit hosted by the group.“Every year we try to think about a theme that captures what’s most exciting in technology,” Prof.