writes "As part of their research efforts aimed at building real-time human-level artificial vision systems inspired by the brain [1,2,3], MIT graduate student Nicolas Pinto and principal investigators David Cox (Rowland Institute at Harvard) and James DiCarlo (McGovern Institute for Brain Research at MIT) recently assembled an impressive 16-gpu "monster"  composed of 8x9800gx2 donated by NVIDIA. The high-throughput method they promote also use other ubiquitous technologies like IBM's Cell Broadband Engine processor (included in Sony's Playstation 3) or Amazon's Elastic Cloud Computing services. Interestingly, the team is also involved in the PetaVision project on the Roadrunner, the world's fastest supercomputer .
More importantly, this approach may have a significant impact on various computational science fields. Will Ray Kurzweil's predictions come true?
 Reverse-Engineering the Brain http://www.technologyreview.com/read_article.aspx?id=17111
 A High-Throughput Screening Approach to Discovering Good Forms of Visual Representation http://cosyne.org/cosyne08/posters/COSYNE2008_0164_poster.pdf
 MIT neuroscientists see design flaws in computer vision tests http://web.mit.edu/newsoffice/2008/computer-vision-0124.html
 monster.16gpus' photostream http://www.flickr.com/photos/27920304@N06/
 Roadrunner supercomputer puts research at a new scale http://www.lanl.gov/news/index.php/fuseaction/home.story/story_id/13602"Link to Original Source