More info at A6 months old baby won’t even notice if a toy truck drives off a platform and seems to fly in the air. However, if the same experiment is repeated 2 to 3 months later, the baby will immediately identify that something is wrong. This means that the baby has already learned the concept of gravity. “Nobody tells a baby that objects are supposed to fall,” said the chief AI scientist at Facebook and a professor at NYU, Dr. Yann LeCun, during a webinar organized by the Association for Computing Machinery, an industry body. Because babies do not have very sophisticated motor control, LeCun hypothesizes, “a lot of what they learn about the world is through observation.”
That theory could have significant suggestions for researchers hoping to push the boundaries of artificial intelligence (AI) further. A branch of AI algorithms, ”deep learning” wears the crown for jump-starting the Bottom of Form field’s most recent revolution and also for making tremendous progress in giving machines perceptual abilities like vision. However, it lacks in injecting them with sophisticated reasoning, grounded in a conceptual model of reality. To put it in a layman language, it means that machines have their limitations. They don’t truly understand the world around them, which makes them fall short in their ability to engage with it. The researchers are working on new techniques which will help to overcome this limit—for example, by giving computers a kind of working memory so that as they derive and learn basic principles and facts, they can accumulate them to draw on in future interactions.
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