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The applicability of machine learning extends far beyond the digital realm. Jonathon Cohen, a machine-learning specialist at NVIDIA, described work being done by researchers at University of California, San Diego, who are beginning to use GPU-accelerated machine learning to help map the distribution of coral species across the ocean floor. In the past, the only way this exceptionally complex task could be approached was for marine biologists to pore over images of reefs, sift through what’s coral and what may be sand or algae, and then identify specific types of coral based on appearance. When done by hand, scientists could only label one or two percent of the images from coral reefs. Today, computers can do 60 percent of the images, with only 5 percent less accuracy than scientists. And the UCSD scientists are on their way to increase this to 90 percent.