Join us for an AI + Health Seminar with Farshid Alambeigi, Associate Professor and the Leland Barclay Fellow in the Walker Department of Mechanical Engineering at The University of Texas at Austin. He is also a core faculty member of Texas
Amid the hustle and bustle of cities across the country, a largely invisible network of surveillance cameras silently observes the ebb and flow of urban life. These cameras, embedded into traffic lights, streetlamps and even police body arm…
UT Austin is a national leader in AI education, offering world-class faculty, cutting-edge research, and top-ranked programs that prepare students to shape the future of artificial intelligence. Provides a strong technical background for st…
CosmicAI researchers will apply artificial intelligence to large datasets to better understand dark matter, galaxies, star formation and other mysteries of the cosmos. Credit: Legacy Surveys / D. Lang (Perimeter Institute) UT Austin has bee…
The University of Texas at Austin and its College of Natural Sciences offer live and virtual programming to bring together scientists, science-inspired artists and people who delight in the natural world and in STEAM (science, technology, e…
Abstract: Audio General Intelligence—the capacity of AI agents to deeply understand and reasonabout all types of auditory input, including speech, environmental sounds, and music—is crucial for enabling AI to interact seamlessly and natural…
AI-Centered research at UT takes place in the Machine Learning Laboratory, Texas Robotics and Good Systems. Specialized AI work is happening across campus in a wide range of disciplines. Discover the labs, faculty, and researchers shaping t…
UT Austin provides industry partners with access to cutting-edge research, top talent, and collaborative opportunities to drive innovation and advance AI technologies. Collaborative research with UT Austin drives technical breakthroughs, so…
The National Science Foundation (NSF) has reaffirmed its confidence in UT Austin by awarding the NSF AI Institute for Foundations of Machine Learning (IFML) a second round of funding, making it one of only five institutes nationwide to rece…
Abstract: Modern generative AI has developed along two distinct paths: autoregressive models for language and diffusion models for image and video. This divide exists because each model class has a unique strength—one excels at compression
The University of Texas at Austin is at the forefront of artificial intelligence research. Our world-renowned faculty, state-of-the-art facilities, and collaborative approach create unmatched opportunities for industry partners to drive inn…
An Industrial Affiliates Program (IAP) is a collaborative initiative that connects academic researchers and students with industry partners. It provides companies with the opportunity to engage directly with cutting-edge research, technolog…