computing

GIANLUCA TEMPESTI

Avi Wigderson

Richard T. Kouzes, Gordon A. Anderson, Stephen T. Elbert, Ian Gorton, and
Deborah K. Gracio, Pacific Northwest National Laboratory
Through the development of new classes of software, algorithms, and hardware, dataintensive applications provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements.

Samuel H. Fuller, Analog Devices Inc.
Lynette I. Millett, National Research Council
The end of dramatic exponential growth in single-processor performance marks the end of the dominance of the single microproessor in computing. The era of sequential computing must give way to an era in which parallelism holds the forefront. Although important scientific and engineering challenges lie ahead, this is an opportune time for innovation in programming systems and computing architectures.

Neal Leavitt
Even though the technology faces several significant challenges, many vendors and industry observers predict a bright future for cloud computing.

Cloud computing has become a significant technology trend, and many experts expect it to reshape information-technology processes and the IT marketplace during the next five years.

Patrick Kurp

Andy Hooper insists he’s not a utopian, but his vision of the future of computing shares some resemblances with the dreams of science-fiction writers.

He foresees a not-too-distant time when the world’s sources of computing power are concentrated in remote server warehouses strategically located near the sources of renewable energy that power them, such as wind and solar farms. And the usage of the power sources could shift across the globe, depending on where energy is most abundant.

Rosalind W. Picard
This is an invited introduction to the first issue of the IEEE Transactions on Affective Computing, telling personal stories and sharing viewpoints of a pioneer and visionary of the field of Affective Computing. This article is not intended to be a thorough or a historical account of the development of the field, for the author is not a historian and cannot begin to properly credit the extraordinary efforts of hundreds of people who helped to cultivate and expand the rich and fertile landscape that extends before us now.

Josh Bongard, University of Vermont
Evolutionary algorithms and robotics hold great promise as integrated design and modeling tools.

A column on intelligent systems and AI research appears passé, when there are exclusive journals and other outlets devoted to their study. But there is an opportunity to present ideas and developments in a way that appeals to experts and nonpractitioners alike. This column is intended to fulfill that need by serving as a “what’s happening in the AI disciplines” commentary. Every other month, it will feature articles written by prominent AI researchers on the latest work in their areas. We cast a broad definition of AI that embraces classical topics, interfaces with other disciplines, and applications in novel domains.