Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD ...
In Lecture 2 we foreshadowed the need for a different style of semantics that could handle non-terminating programs. In Lecture 3 we started building some infrastructure that could deal with ...
All speakers of the lecture series have received very strict instructions as how to arrange their speech; as a result I expect all speeches to be similar to each other. Mine will not differ, I adhere ...
This note is devoted to three rules, the following of which is necessary if you want to be successful in scientific research. (If you manage to follow them, they will prove close to sufficient, but ...
Most of the computer graphics research in the UT Austin CS department is conducted by two major sub-groups, each with its own web page: ...
Table of Contents Introduction Motivation for the tutorial Goals of the tutorial Layout of the tutorial Motivation for the tutorial Goals of the tutorial Layout of the tutorial Adaptive Mesh ...
Posts / Using dup2 () to redirect output Sometimes, you want to redirect the output of your program to a file–maybe to record it for another program, or because you want to search through it with grep ...
When people think of content moderation, they usually imagine some kind of AI program that automatically monitors social media posts to delete inappropriate content. Though some content moderation is ...
FLAME: Formal Linear Algebra Methods Environment1Introduction Bibliography About this document ... Robert van de Geijn 2000-11-03 ...
The 2025-2026 rankings tout computer science at The University of Texas at Austin as among the seven best nationally. The UT Computer Science graduate program continues to be recognized as a top 10 ...
This research study has been reviewed by The University of Texas at Austin Institutional Review Board, and determined that this protocol meets the criteria for exemption from IRB review under 45 CFR ...
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.