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A faculty member at the University of Texas at Austin who works to improve the security and reliability of computer software systems has been awarded a Sloan Research Fellowship for 2015. Işil Dillig is an assistant professor in the department of computer science who develops tools and novel techniques that enable software systems to automatically detect errors and vulnerabilities in programming. She will receive $50,000 from the Alfred P. Sloan Foundation to further her research. Read More
"At the University of Texas, a department focused on artificial intelligence will blow your mind..." Read More
UTCS Professor Inderjit Dhillon has been named a 2014 Fellow of the Association for Computing Machinery (ACM) "for contributions to large-scale data analysis, machine learning and computational mathematics." Read More
Cellular devices are an agent for convenience for every day life. Mobile applications on these devices play a large part in this virtual accessibility. Read More
The 2015 Friends of Computer Science (FoCS) Career Night was held on February 4 in the Carpenter-Winkel Centennial Room of the DKR Memorial Stadium. Read More
From robots to drones to various research, the Association of the Advancement of Artificial Intelligence embraces the artificial intelligence community that Austin has to offer. Read More
AUSTIN, Texas — Students from The University of Texas at Austin won $100,000 in seed funding for developing an idea for a smart phone app that would use artificial intelligence to help Texas residents get information about health care, food assistance and other social services in partnership with the United Way for Greater Austin’s 2-1-1 Navigation Center. Read More
A new computational technique developed at The University of Texas at Austin has enabled an international consortium to produce an avian tree of life that points to the origins of various bird species. A graduate student at the university is a leading author on papers describing the new technique and sharing the consortium’s findings about bird evolution in the journal Science. Read More
Machine-Learning Summer School
The Machine-Learning Summer School (MLSS) series was started in 2002 to promote modern methods of statistical machine learning and inference. The "summer" school (now hosted at all times of year) provides a premium venue for graduate students, researchers, and industry professionals to learn about fundamental machine learning and techniques at the forefront of research in the field. This is the first time MLSS will be held in Austin, Texas and will feature an exciting program with talks from leading experts in the field. MLSS event details are listed below. Read More
On January 28, 2015 UTCS faculty (and by the way spouses) Robert van de Geijn and Maggie Myers will kick off the second year of their 16 week MOOCs (massively open online course) on linear algebra from a computer science perspective called Linear Algebra - Foundations to Frontiers. Robert and Maggie have enhanced the course by working with MathWorks to enable participants to use Matlab freely during the course. Read More