Scientists are tapping the brains of children, who think like young scientists, to improve artificial intelligence
People often wonder if computers make children smarter. Scientists at the University of California, Berkeley, are asking the reverse question: Can children make computers smarter? And the answer appears to be 'yes.' UC Berkeley researchers are tapping the cognitive smarts of babies, toddlers and preschoolers to program computers to think more like humans. If replicated in machines, the computational models based on baby brainpower could give a major boost to artificial intelligence, which historically has had difficulty handling nuances and uncertainty, researchers said "Children are the greatest learning machines in the universe. Imagine if computers could learn as much and as quickly as they do," said Alison Gopnik a developmental psychologist at UC Berkeley and author of "The Scientist in the Crib" and "The Philosophical Baby." In a wide range of experiments involving lollipops, flashing and spinning toys, and music makers, among other props, UC Berkeley researchers are finding that children - at younger and younger ages - are testing hypotheses, detecting statistical patterns and drawing conclusions while constantly adapting to changes. "Young children are capable of solving problems that still pose a challenge for computers, such as learning languages and figuring out causal relationships," said Tom Griffiths, director of UC Berkeley's Computational Cognitive Science Lab. "We are hoping to make computers smarter by making them a little more like children." For example, researchers said, computers programmed with kids' cognitive smarts could interact more intelligently and responsively with humans in applications such as computer tutoring programs and phone-answering robots.
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