Sporting robots are still slow. But their inventors are making rapid strides
Assistant Professor Pradeep Ravikumar is part of a team of researchers, from the University of Texas at Austin, Boston University, and Harvard University, that have been selected as a recipient of one of 23 awards this year from the Department of Defense Multidisciplinary University Research Initiative (MURI).
Peter Stone talks about autonomous vehicles and intersections with Michael Breen of American Mathematical Society on this podcast episode of Mathematical Moments.
FierceBiotechIT | By Ryan McBride
For years, drug researchers have tapped computers to take serendipity out of the discovery equation, and a group from the University of Texas at Austin has advanced computational drug discovery further with updated image-reconstruction and modeling techniques, according to the university.
Professor Peter Stone has been elected as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for his significant contributions to machine learning, multiagent systems, and robotics, and pioneering applications in robot soccer, trading agents, and autonomous driving domains.
Ordinary Americans can't buy intelligent, self-driving cars just yet, but the technology could someday revolutionize one of the nation's most common road rituals—the morning and evening commutes that bookend the workday for millions of people.
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