
As part of a long-term project, the researchers are working on developing a computer that they hope could one day mimic the visualization systems of the human brain. And while there could be many practical applications for such research, one of the sexiest is a potential autonomous vehicle that could use its visualization acumen to navigate roadside dangers or impassable terrain.
According to Nicolas Pinto, a Ph.D. student specializing in brain visualization research at MIT, the idea behind the project is to learn how to build a computer using advanced graphics processing units (GPUs) that could some day simulate the functions of the brain's visual cortex.
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Pinto, who is partnered on the project with David Cox at Harvard's Rowland Institute, explained that research indicates the brain has computing power of at least 20 petaflops, or roughly 20 times the world's most powerful supercomputer. And he added that scientists figure that the visual cortex makes up at least 40 percent of the brain, meaning that by itself, it has nearly 10 petaflops of computing power.
The brain is massively parallel and its power comes from its ability to perform massively parallel computations, said Pinto, whose supervisor at MIT is James DiCarlo. As a research team, then, he explained that one of the biggest problems he and Cox face in trying to mimic the brain's power is simulating that parallelism.
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