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Artificial-Intelligence Research Revives Its Old Ambitions


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An artist's representation of Artificial Intelligence.

Artificial intelligence has proven more complicated than anticipated.

Credit: Christine Daniloff/MIT

Artificial intelligence (AI) research has advanced significantly, but much work remains before computers can truly replicate or surpass human intelligence.

Although machine learning has enabled computers to perform tasks such as interpreting spoken language, AI has proven more complicated than anticipated. "These recent achievements have, ironically, underscored the limitations of computer science and artificial intelligence," says the Massachusetts Institute of Technology's (MIT's) Tomaso Poggio. "We do not yet understand how the brain gives rise to intelligence, nor do we know how to build machines that are as broadly intelligent as we are."

However, Poggio believes new knowledge of neuroscience, cognitive science, and computer science place today's researchers in a position to try again to attain AI's original goals.

Poggio will head the Center for Brains, Minds, and Machines (CBMM) at MIT, one of three new research centers funded by the U.S. National Science Foundation's Science and Technology Centers Integrative Partnerships program. CBMM will be an international, multi-institution effort focusing on the integration of intelligence, including vision, language, and motor skills; intelligence circuits, encompassing neurobiology, and electrical engineering; the development of intelligence in children; and social intelligence.

From MIT News
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