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Spoon holding melting binary code

A new study from the University of Texas at Austin, Texas A&M, and Purdue University shows that large language models fed a diet of popular but low-quality social media content experience a kind of “brain rot” that may be familiar to anyone who has spent too long doomscrolling on X or TikTok.

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Pohoto of David Burghoff

David Burghoff, an assistant professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, has been awarded a 2025 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA).
Three men holding their awards

Debjyoti Chatterjee, a Ph.D. student in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, received the IEEE Transactions on Power Electronics (TPEL) First Place Paper Award.
Portrait of Yale Patt

Yale Patt has been awarded the prestigious 2025 Okawa Prize by the Okawa Foundation for Information and Telecommunications. Patt was honored for “pioneering and outstanding research in high-performance microprocessor architectures, especially involving instruction level parallelism, superscalar processor design, and high accuracy branch prediction.”
New Transistor Design Expands 3D Memories

Researchers in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin have demonstrated a breakthrough in transistor design that reduces leakage current in very small geometry transistors by more than a factor of 10.
Amazon AI Fellows

Fifteen University of Texas at Austin students have been named Amazon AI Ph.D. Fellows. Supported through Amazon’s nationwide fellowship program, these students are advancing research in machine learning, computer vision, natural-language processing and more.
Peihao Wang

Texas ECE graduate student Peihao Wang has received a 2025 Google PhD Fellowship in Machine Learning and ML Foundations.
Peihao Wang Portrait

Texas ECE Ph.D. student Peihao Wang was named a Rising Star in Data Science by Stanford Data Science.
Photo of Md Mostafijur Rahman and Radu Marculescu standing in a research lab

A research team led by Professor Radu Marculescu and PhD student Md Mostafijur Rahman in the Chandra Family Department of Electrical and Computer Engineering have made great strides in the medical imaging community with a string of influential papers that dramatically improve the efficiency and accuracy of AI-powered image segmentation.
Artur Pinto and Jean Anne Incorvia during one of Incorvia’s visits to Portugal.

A new cancer treatment combines LED light and tiny tin flakes to neutralize cancer cells while shielding healthy cells and avoiding the painful side effects associated with chemotherapy and other treatments