This talk argues that the years ahead will usher in the era of the algorithm, a notion that might prove just as disruptive as the revolution in the physical sciences was in the last century. The talk will also argue why algorithms are even more powerful than customarily believed but why they will not unleash their true potential until they become full-fledged scientific tools and not just problem-solvers. (Series: CSE Colloquia - 2008)
Computer architecture is about to undergo, if not another revolution, then a vigorous shaking-up. The major chip manufacturers have, for the time being, simply given up trying to make processors...
Declarative languages allow programmers to say what they want, without worrying over the details of how to achieve it. These kinds of languages revolutionized data management decades ago but have...
PlanetLab is a global platform for evaluating and deploying network services. It currently includes nearly 700 nodes, spanning over 335 sites and 35 countries, and hosts over 500 experimental...
Allan Borodin, University of Toronto, addresses the question, "Is it time to make algorithm design more of a computer science?" A basic course in Computer Science undergraduate and graduate...
With the dramatic increase in electronic exchanges and automated trading in recent years, it has become important to develop new computational and algorithmic tools for analyzing market properties...
Alice Zheng presents a case study illustrating how statistical machine learning algorithms, along with appropriate system instrumentation, can aid in failure diagnosis. She proposes a statistical...
Billions of dollars (and euros and yen, too) flow through Google Ad Systems. In this talk, Narayanan Shivakumar, a Google distinguished entrepreneur and director of Google's Seattle-Kirkland R and...
This lecture presents a new image segmentation algorithm, Spectral Rounding (SR), and a fast solver used for segmenting 2D images. The second issue addressed is fast algorithms for finding the...
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