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Research

Changing the Evolution of Database Applications

Yuepeng Wang, a sixth-year PhD student at Texas Computer Science

02/04/2020 - Most websites that we use every day are database applications, which means that they involve software that interacts with an underlying database. As these websites evolve to meet the demands of their users, so must the software and the database schema, i.e., the model that determines the layout of the data. This process is extremely time-consuming and error-prone, because developers not only need to transform the data, but also re-implement all the affected parts of the application.

DJ-MC: A Personalized DJ

01/09/2020 - There are few pet peeves worse than being unable to find the right song. It’s this endless cycle of shuffling through a music library that inspired UT alumni and faculty to create DJ Monte-Carlo (DJ-MC)—a program tailored to preemptively pick music that suits your mood.

Dr. Hovav Shacham Awarded ACM CCS Test-of-Time Award 2019

Professor Hovav Shacham

11/20/2019 - The 26th ACM Conference on Computer and Communications Security (CCS) took place in London last week. Over the years, CCS has established itself as a high standard research conference in the field of information security, and is one of the "big four" security conferences in the world. Each year since 2012, CCS has recognized one or two papers from the conference a decade earlier with a test-of-time award.

Artificial Intelligence System Gives Fashion Advice

Minimal outfit edits suggest minor changes to an existing outfit in order to improve its fashionability.

10/28/2019 - People turn to many different sources for clothing style advice, from magazines to best friends to Instagram. Soon, though, you may be able to ask your smartphone. A University of Texas at Austin computer science team, in partnership with researchers from Cornell Tech, Georgia Tech and Facebook AI Research, has developed an artificial intelligence system that can look at a photo of an outfit and suggest helpful tips to make it more fashionable. Suggestions may include tweaks such as selecting a sleeveless top or a longer jacket.

New AI Sees Like a Human, Filling in the Blanks

Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment. Jenna Luecke/University of Texas at Austin.

05/16/2019 - Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions.

Using Machine Learning to Revolutionize the Future of Food Production

Basil plant in hydroponic growing lab.

04/19/2019 - Water, sunlight, nutrients—these ingredients are essential for plant growth. However, these basic ingredients don’t always yield the ideal plant. In fact, optimizing these variables is complicated, causing some plants to fall flat on flavor. Machine learning can help.

Working Toward a More Accessible Future: Teaching Computers to Imitate Human Perception

Alex Huth (left), assistant professor of Neuroscience and Computer Science at the University of Texas at Austin. Shailee Jain (right), a Computer Science PhD student at the Huth Lab.

04/11/2019 - Imagine a world where accessing and interacting with technology doesn’t require keyboard or voice input—just a quick mental command. Imagine “speech prosthesis” technology that would allow people who are unable to communicate verbally to speak without expensive and highly customized interfaces. Imagine a device that could read a users’ mind, and automatically send a message, open a door, or buy a birthday present for a family member.

UT Programming Team Claims Victory at ICPC World Finals

ICPC competitors from UT stand together as a group at the competition

04/10/2019 - On Thu, 4 Apr 2019, the UT Programming Contest (UTPC) team competed at the International Collegiate Programming Contest (ICPC) World Finals at the University of Porto in Porto, Portugal. The competition consisted of teams from 135 regions (approx. 405 students) trying to solve 11 problems in 5 hrs. The first-place team, Moscow State University, solved 10 problems.