The recognition is for a 2005 paper titled “Agnostically Learning Halfspaces,” which Klivans co-authored with Adam Tauman ...

Study computer science in a program that’s both rigorous and flexible. At UT Austin, you’ll build a strong foundation in computing and shape your degree around what interests you most. Our curriculum ...

We know that managing costs and minimizing student debt are important factors in your UT experience. Use the information below to find details on estimated cost of attendance, tuition rates, financial ...

Combine the richness of history with the rigor of computer science. This interdisciplinary approach helps you uncover patterns and insights often overlooked by traditional methods, giving you a ...

Robotics Candidates: If your research area is robotics, please also send your cover letter and CV to [email protected] along with an indication that you have applied to the ...

Learn to build mobile apps using Swift and Xcode while developing a strong foundation in user interface design, logic, and collaboration. Work alongside peers, guided by UT faculty and industry ...

Ready to see the world while staying on track with your degree? As a computer science major, you can study abroad and earn credit toward electives or other degree requirements without missing a step ...

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...

Community is a big part of the UT Computer Science experience. Through student organizations, events and project-based opportunities, you’ll meet people who share your interests and want to see you ...

Merge your passion for language with cutting-edge computer science skills. Through the Linguistics+CS program, you’ll be equipped to tackle complex linguistic questions with the latest computational ...

This project will explore using emdeddings from an LLM to support standard document retrieval. You will use document and query embeddings from a recent LLM specialized for scientific literature stored ...

A critical bottleneck limiting imitation learning in robotics is the lack ofdata. This problem is more severe in mobile manipulation, where collectingdemonstrations is harder than in stationary ...