Here’s how human brain can handle so much data

They validated an algorithm to explain human learning — a method that also can be used for machine learning, data analysis and computer vision. (Representative image)NEW YORK: Researchers led by an Indian-origin scientist from Georgia Institute of Technology have discovered how humans can categorise data using less than percent percent of the original information.They validated an algorithm to explain human learning — a method that also can be used for machine learning, data analysis and computer vision.”How do we make sense of so much data around us, of so many different types, so quickly and robustly?” said Santosh Vempala, distinguished professor of computer science.”At a fundamental level, how do humans begin to do that? It’s a computational problem,” he asked.Vempala and colleagues presented test subjects with original, abstract images and…


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