UTCS Assistant Professor Pradeep Ravikumar is one of 126 outstanding U.S. and Canadian researchers selected by the Alfred P. Sloan Foundation as recipients of the 2014 Sloan Research Fellowships. Ravikumar currently teaches Statstical Learning and Data Mining, and his main area of research interest is in statistical machine learning.
Professor Peter Stone spoke with Joe Palca this morning on NPR's Morning Edition about taking his "passion for soccer into the lab" in a segment aptly titled "Peter Stone Can't Get Enough Of Robots Playing Soccer."
Kurt Dresne, one of Professor Peter Stone's former UT Computer Science graduate student spoke with NPR's Robert Siegel recently about his thesis research on autonomous intersection management in a segment called "To Make Intersections Smarter, We Need Cars To Be Smarter, Too."
The Texas Advanced Computing Center (TACC) at The University of Texas at Austin, along with technology partners Hewlett-Packard and NVIDIA, today announced that in January 2014 they will deploy Maverick, a powerful, high-performance visualization and data analytics resource for the open science and engineering community.
A team of researchers at Rice University, Baylor College of Medicine (BCM) and the University of Texas at Austin are working together to develop new statistical tools that can find clues about cancer that are hidden like needles in enormous haystacks of raw data.
The National Science Foundation has recognized two Baylor College of Medicine researchers, along with a researcher from The University of Texas at Austin, with a collaborative research award that is a joint initiative between the NSF Division of Mathematical Sciences and National Institute of General Medical Sciences to support research at the interface of the biological and mathematical sciences.
Researchers at the University are working to perfect a computer algorithm designed to summarize first-person perspective films, with the hope of aiding the elderly and memory-impaired.
With video sharing expected to leap, researchers at the University of Texas are training computers to digest such videos into a nutshell version for easier viewing.
Computer scientists at The University of Texas at Austin say that a day will come when computers will automatically give short video digests of a day in our lives, kind of like a video journal.
The race is on to develop tools to help sift through the vast quantities of video that are being produced by wearable camera technology like Google Glass and Looxcie.
The researchers are working to develop tools to help make sense of the vast quantities of video that are going to be produced by wearable camera technology like Google Glass and Looxcie.