There’s an (albeit cliché) saying that says that two heads are better than one. Unsurprisingly, this idiom extends to artificial agents. In the field of AI, researchers have been working to understand how to make independent agents, who may have different goals, work together in an environment to complete a shared task.Read More
Texas Computer Science (TXCS) is proud to announce that two research teams have received awards at preeminent evolutionary computation conferences.Read More
Imagine that you are a robot in a hospital: composed of bolts and bits, running on code, and surrounded by humans. It’s your first day on the job, and your task is to help your new human teammates—the hospital’s employees—do their job more effectively and efficiently. Mainly, you’re fetching things. You’ve never met the employees before, and don’t know how they handle their tasks. How do you know when to ask for instructions? At what point does asking too many questions become disruptive?Read More
Earl Potts, a Texas Computer Science (TXCS) and African and African Diaspora Studies student, created the app “Keep Austin Black” to provide Austinites with an extensive directory of local Black-owned businesses. Though Potts initially started working on the app in October 2019, he went back to working on “Keep Austin Black” as a response to the ongoing Black Lives Matter protests going on throughout the United States.Read More
Franziska Roesner has spent over 16 years studying and working in the computer science field. Yet she only started studying computer science by pure happenstance. Roesner initially applied only to The University of Texas’ Plan II Honors Program. After realizing that the application required that she choose a backup major, Roesner selected computer science “without really knowing what it was.” Upon learning that she was accepted into both majors, she went to the advising office intending to drop computer science.Read More
Note: the original article was written for and published on the Texas Advanced Computing Center website. Authorship credit goes to Faith Singer-Villalobos.Read More
Story by Cason Hunwick for the College of Natural Science's News Page.
University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2020 Blavatnik National Awards for Young Scientists.Read More
The datasets used by many software applications can be represented as graphs, defined by sets of vertices and edges. These graphs are rich with useful information, and can be used to determine patterns and relationships among the stored data. This process of discovering relevant patterns from graphs is called Graph Pattern Mining (GPM). A team of Texas Computer Science (TXCS) researchers advised by Dr. Keshav Pingali has done groundbreaking work to make GPM programs more efficient and accessible.Read More
