Colloquium

Many researchers have observed that general purpose computing with programmable graphics hardware (GPUs) has shown promise to solve many of the world's compute intensive problems, many orders of magnitude faster the conventional CPUs.

http://citp.princeton.edu/events/lectures/luis-von-ahn/

Team Cornell's Skynet is one of six vehicles that successfully completed the 2007 DARPA Urban Challenge, with over 55 miles of fully autonomous driving in an urban environment.

The Internet is unquestionably a tremendous success---a research experiment that truly escaped from the lab.

In this talk, I will describe our research on incorporating background knowledge in the form of feature hierarchies during Bayesian network learning.

Popular articles on quantum computers sometimes portray them as mythical devices that speed up any computation by an exponential factor.

Machine learning is an interdisciplinary field which seeks to develop both the mathematical foundations and practical applications of systems that learn, reason and act.

With multicore processors bringing parallel computing to the masses, there is an urgent need to make concurrent programming easier.

We consider the problem of monitoring road and traffic conditions in a city. Prior work in this area has required the deployment of dedicated sensors on vehicles and/or on the roadside, or the tracking of mobile phones by service providers.