Begin a focused exploration of the collaborative and creative aspects of web-based game development. Gain practical insights into the industry, covering package managers, local web servers, and design ...

Işıl Dillig, a professor in the Department of Computer Science at The University of Texas at Austin, earned the 2025 Robin ...

The UT Computer Science Academy for All is focused on tackling diversity, equity, and inclusion barriers in STEM for students from historically underrepresented populations.

This algorithm, which Bob Boyer and I invented in 1980 decides which element of a sequence is in the majority, provided there is such an element. How would you determine the majority element of: ...

Fig.1 - Rectified flow learns neural ODEs with straight trajectories for both generating (up two rows) and transferring (lower two rows) data, with a very small number N of Euler steps (even a single ...

Ontology Works - Ontology Works is a leading source of ontology construction software, ontology-based database software, and ontology-based information integration software. The Ontology Works IODE is ...

Computational Applied Mathematics Chair in Visualization Professor of Computer Science Director of Center for Computational Visualization Department of Computer Science & The Oden Institute of ...

UT-Austin Computer Vision Group Outfit Attributes dataset Images partially annotated for collar type, pattern, material, and skirt/pants shape.

SAIL is a front-end for program analysis systems that provides a two-level representation, consisting of both a language-specific high-level intermediate language as well as a low-level, ...

These notes have the status of “Letters written to myself”: I wrote them down because, without doing so, I found myself repeating the same arguments over and over again. When reading what I had ...

Introduction TMYCIN (``Tiny EMYCIN'') is a simple expert system tool patterned after the EMYCIN tool developed at Stanford [1, 2]. TMYCIN does not attempt to provide all of the features of EMYCIN; it ...

The state space is far too large to explore exhaustively; Each agent has only partial state information; The action space is continuous; Multiple teammates need to learn simultaneously. Despite these ...