Some of the most compelling and important research problems originate from real-world issues and challenges. Such is the case for Qixing Huang, an associate professor in Computer Science whose research spans computer vision, computer graphics, and machine learning in the development of 3D generative models. On a trip to China, while giving a talk at […]
NSF AI Institute for Foundations of Machine Learning (IFML) secures renewed funding to support breakthrough research in generative AI. 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 […]
The Institute for Foundations of Machine Learning (IFML) focuses on core foundational tools to power the next generation of machine learning models. Its research underpins the algorithms and data sets that make generative artificial intelligence (AI) more accurate and reliable. Headquartered at The University of Texas at Austin, IFML researchers collaborate across an ecosystem that […]
KAREN L. DAVIDSON 