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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
The 2024-25 UT Programming Club
All four teams from the UT Programming Team finished top six, including taking first place, in the South Central USA Regional Competition of the International Collegiate Programming contest last month. Read More
Risto Miikkulainen's headshot against a gray background with a graphic dot pattern and caption that reads, Miikkulainen’s contributions have garnered recognition across academia and industry, from significant publications, prestigious honors, and influential leadership roles.
2024 marks a pivotal year for Risto Miikkulainen, Professor of Computer Science at UT Austin, with several major achievements showcasing his leadership in artificial intelligence (AI) and neural networks.  Read More
Mina Huh standing against a blackboard wearing a blue button-down shirt.
Mina Huh, a computer science Ph.D. student at UT Austin, has been awarded a Google Ph.D. Fellowship, the company announced on November 14. Read More