For artificial intelligence and smart machines to really take off, computers are going to have to be able to think more like people, according to experts in the field who are making important progress toward that goal.
Scientists on Thursday said they had created a computer model, or algorithm, that captures the unique human ability to grasp new concepts from a single example in a study involving learning unfamiliar handwritten alphabet characters.
This and similar research has the twin goals of better understanding human learning and developing new, more human-like learning algorithms, New York University cognitive and data scientist Brenden Lake said.