Team of researchers, Teaching machine to ‘learn’ like us

To shorten machine learning, a team of researchers has tried to teach machines to learn like us. The New York University scientists have developed an algorithm that captures our learning abilities, enabling computers to recognize and draw simple visual concepts that are mostly indistinguishable from those created by humans. The work marks a significant advance in the field, one that dramatically shortens the time it takes computers to ‘learn’ new concepts and broadens their application to more creative tasks. The results show that by reverse engineering how people think about a problem, we can develop better algorithms, explains lead author Brenden Lake. “Moreover, this work points to promising methods to narrow the gap for other machine learning tasks.” When humans are exposed to a new concept, such as new piece…


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