From image processing, to 3D modeling, to search algorithms, computer and computational science help improve the drug discovery pipeline
Research in computer science has shown a remarkable ability to change the world. Just consider some of the $1B industries that were spawned from basic research in computer science: Internet search, graphics and animation, relational databases, data mining, and speech recognition.
Discoveries in bioinformatics provide new therapeutic interventions to disease by replacing expensive, time-consuming physical experiments with an automated computational search. Public databases now contain experimentally determined sequence and structural information for hundreds of thousands of proteins
Tandy Warnow is working with postdoctoral fellow Kevin Liu of Rice University and Siavash Mirarab, a Ph.D. student in computer science at The University of Texas at Austin, to create smarter, faster and more accurate algorithms to apply to some of the biggest data sets ever created.
Computer scientists at the University of Texas in Austin are developing intersections of the future, designed to accommodate the driverless vehicles they believe will soon take over our roads. The intersection will have no traffic lights and no stop signs, just computer programs that will talk directly to each car on the road.
"WebOS: Operating System Services for Wide Area Applications," a paper co-authored by Michael Dahlin has been selected as one of the top 20 papers in 20 years of publications from the HPDC, the International ACM Symposium on High-Performance Parallel and Distributed Computing. Co-authors of the paper, are Amin Vahdat, Tom Anderson, Eshwar Belani, David Culler, Paul Eastham, and Chad Yoshikawa.
Having already designed an SUV that drives itself, a project group at the University of Texas is now working on the technological next step: an autonomous intersection that lets driverless vehicles navigate without stoplights or stop signs.
As the United States prepares for a year of election-driven partisanship, William Press points to something that many Americans share: a commitment to science.
Pradeep Ravikumar has been selected for an NSF CAREER Award for his project entitled "CAREER: A New Neat Framework for Statistical Machine Learning."
Imagine driving down a street at rush hour. It’s a typical commute, but this time, you’re reading a newspaper in the backseat. The driver’s seat is empty—your car is driving itself. Sounds like a fantasy, right?