The idea of “seeing the world through the eyes of a child” takes on new meaning when the observer is a computer. Institute scientists in the Lab for Vision and Robotics Research took their computer right back to babyhood and used it to ask how infants first learn to identify objects in their visual field.
How do you create an algorithm that imitates the earliest learning processes? What do you assume is already hard-wired into the newborn brain, as opposed to the new information it picks up by repeated observation? And finally, how do you get a computer to make that leap from a data-crunching…
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