Delivered by the Department of Computer Science and Machine Learning Laboratory, the Master of Science in Artificial Intelligence (MSAI) will be the first large-scale degree program of its kind and the only master’s degree program in AI from a top-ranked institution to be priced close to $10,000. The master’s degree covers about two years’ worth of course content, to be taken at the learner’s own pace, and master’s degree will be delivered in partnership with online course provider edX.
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For decades, natural language processing (NLP) has provided methods for computers to understand language in a way that mimics humans. Since they are built on transformers, complex neural network layers, these large language models' decision making processes are usually incomprehensible to humans and require large amounts of data to be trained properly. In the past, researchers have tried to remedy this by having models explain their decisions by providing rationales, short excerpts of data that contributed most to the label.Read More
Longhorn Startup is a unique program at UT Austin where undergraduate students earn real course credit while simultaneously building their own start-up under the mentorship of established entrepreneurs.
One such start-up created by UT Computer Science alumni was recently obtained by Ibotta in a multi-million-dollar acquisition deal.Read More
It is with great sadness that we inform the scientific community of the passing of an international giant. Dana Ballard passed away on Nov 3rd, 2022, at the age of 76.Read More
Each year, the College of Natural Sciences Teaching Excellence Award recognizes educators who provide outstanding education focused on research that enriches the experience of students.Read More
Autonomous robots will soon rove the buildings and streets of The University of Texas at Austin campus. But unlike other commercial delivery services, this fleet of robots will help researchers understand and improve the experience of pedestrians who encounter them.Read More
As the technological world advances, it has become increasingly difficult for the speed of computers to improve. UT Computer Science Professor Dr. Chris Rossbach's research in field-programmable gate array (FPGA) virtualization has made significant strides in the development of a more efficient computing infrastructure.Read More
The University of Texas at Austin and the MITRE Corporation, a nonprofit dedicated to solving problems for a safer world, have formed a partnership that includes accelerating innovative ethical artificial intelligence (AI) research currently underway by interdisciplinary teams of researchers who are part of UT Austin's Good Systems research grand challenge.Read More
Privacy has become increasingly valuable and rare as technology has become more closely integrated with our lives. Private information retrieval (PIR) protocols allow you to retrieve information through an encoded query while also protecting your personal information. Our current security standard online can be viewed as a “no-privacy baseline,” which means the vast majority of our online information retrieval isn’t protected by any of these protocols. Cryptographers like UT Computer Science professor David Wu are building innovative solutions that support this growing preference for online privacy.
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It's hard to make changes to the software running on a computer network while it's in use—and that can make it harder to respond quickly to a cyberattack. The National Science Foundation has awarded a grant to computer scientists from Rice University, The University of Texas at Austin and the University of Washington to develop runtime programmable networks that can respond to real-time changes rapidly and without interruption of service.Read More
