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Illustration shows a group of atoms with arrows indicating the directions of their electron spins
UT Austin is celebrating 100 years of quantum science, highlighting its impact on computing, clean energy, and medicine. Faculty member Scott Aaronson is advancing quantum computing by developing methods to certify quantum-generated randomness for cryptography and data privacy. With the Texas Quantum Institute and leading research initiatives, UT continues to shape the future of quantum technology. Read Article
David Wu wearing a read jacket outside with red brick columns in the background.
David J. Wu, an assistant professor at the University of Texas at Austin, has received a Sloan Research Fellowship. The fellowship recognizes UT Austin as a leading public university and honors early-career researchers for their creativity and independent research. Wu specializes in cryptography, focusing on privacy-preserving systems and secure cloud computations that enable operations on encrypted data while ensuring confidentiality and authenticity. Read Article
Ryan Atkinson at Tech Guide Interviews Peter Stone about How Undergraduates Can Get Research Experience
In a recent interview with TechGuide.org, UT Austin Computer Science Professor Peter Stone shares insights on how undergraduates can secure research opportunities in AI. As the founder of the Learning Agents Research Group and Director of Texas Robotics, he emphasizes the value of interdisciplinary skills, hands-on research, and continuous learning. Listen to the full conversation to explore AI career paths, research strategies, and actionable steps for breaking into the field. Read Article
Brain activity like this, measured in an fMRI machine, can be used to train a brain decoder to decipher what a person is thinking about. In this latest study, UT Austin researchers have developed a method to adapt their brain decoder to new users far faster than the original training, even when the user has difficulty comprehending language.
UT Austin researchers have improved their AI-powered brain decoder, allowing it to translate thoughts into continuous text with just one hour of training—far less than the original 16-hour process. This advancement makes the technology more accessible, particularly for individuals with aphasia, by enabling communication without requiring spoken language comprehension. The team is now collaborating with experts in aphasia research to explore its potential for real-world applications. Read Article
Professor Brent Waters in blue button-down shirt against a burnt orange background and “It feels good to be recognized by your peers… they understand what I do better than anyone else.” - Brent Waters in white text against a charcoal gray background on the right.
Brent Waters, a cryptography professor in the Department of Computer Science at UT Austin, was recently named one of IEEE’s newest fellows. Read More
UT Professor Adam Klivans on the KXAN set
Dr. Adam Klivans, UT Computer Science professor and director of the Institute for Foundations of Machine Learning, joined KXAN Austin to discuss the impact of DeepSeek’s latest AI model. He explained how the Chinese company’s breakthrough in training efficiency—achieving high-performance results with significantly less computational power—has surprised the AI industry and affected major tech stocks. Klivans also highlighted ongoing questions about DeepSeek’s methods and the broader implications for AI development. Read Article
Sriram Hariharan says, "The skills I developed at UT Computer Science gave me the foundation to create UT Registration Plus and solve a real problem for students at UT." Photo of Sriram Hariharan in front of the UT Tower.
If asked during his freshman year, Sriram Hariharan never would have guessed he would create his first million-dollar acquisition before graduation.Beginning his freshman year summer, Hariharan didn’t hear back from any internships while his friends got their offers. Instead of becoming unmotivated, he took matters into his own hands. Read More
Limestone color background with duotone burnt orange Gr-1 robot on right with "How to Train Humanoid Robots More Efficiently" on left.
The Robot Perception and Learning Lab launched DexMimicGen, a new data generation system to improve training for humanoid robots. It builds on the lab’s earlier system, MimicGen, to predict humanoid autonomous robot movements from a small set of human demonstrations. Read More
Three golden stars representing an award on the left with "computer science undergraduates earn research recognition" to the right.
Four undergraduate computer science researchers were recognized by the Computer Research Association in the 2025 CRA Outstanding Undergraduate Researcher Award — the largest recognition of the department’s undergraduate research yet. Read More
Arial photo of the UT Austin campus
UT Austin ranked eighth in computer science and engineering globally in new report by ShanghaiRanking. Read Article