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.
UTCS Professor, Don Batory and CEO of RockYou, Lance Tokudo won the Most Influential Paper Award.
Finding new gene-disease connections the Facebook way: ICES researcher Inderjit Dhillon and Edward Marcotte use social networking inspired methods to predict disease genes
Inderjit Dhillon, an ICES core faculty member, and professor of computer science, received the 2013 ICES Distinguished Research Award.
While driverless cars might still seem like science fiction outside the Valley, the people working and thinking about these technologies are starting to ask what these autos could mean for the city of the future. The short answer is “a lot.”