Bayesian Program Learning: Computers Make a Leap Forward

MIT's scientists claim they can teach a new concept to a computer using a single example rather than thousands. They make use of an algorithm that takes advantage of "Bayesian Program Learning," or BPL. This is when a computer creates its own additional examples after being fed data, and then determines which ones fit the pattern best. The researchers behind BPL say they're attempting to recreate the way humans are able to learn a new task after seeing it done once. "The gap between machine learning and human learning capacities remains vast," one of the authors of the research paper, which was published last week in the journal Science, told GeekWire.