A team of scientists has developed an algorithm that captures human learning abilities, enabling computers to recognize and draw simple visual concepts that are mostly indistinguishable from those created by humans.The work by researchers at MIT, New York University, and the University of Toronto, marks a significant advance in the field — one that dramatically shortens the time it takes computers to “learn” new concepts and broadens their application to more creative tasks, according to the researchers.When humans are exposed to a new concept — such as new piece of kitchen equipment, a new dance move, or a new letter in an unfamiliar alphabet — they often need only a few examples to understand its make-up and recognize new instances. But machines typically need to be given hundreds or thousands of examples to perform with similar accuracy.
When machines learn like humans
