The Google X laboratory has invented some pretty cool stuff:
refrigerators that can order groceries when your food runs low,
elevators that can perhaps reach outer space, self-driving cars. So it’s
no surprise that their most recent design is the most advanced, highest
functioning, most awesome invention ever… a computer that likes
watching YouTube cats?
Stanford University computer scientist Andrew Y. Ng, led the Google team
in feeding the neural network 10 million random digital images from
YouTube videos. The machine was not “supervised,” i.e. it was not told
what a cat is or what features a cat has; it simply looked at the data
randomly fed to it. Ng found that there was a small part of the
computer’s “brain” that taught itself to recognize felines. “It
basically invented the concept of a cat,” Google fellow Jeff Dean told
the New York Times.
This research endeavors to explore how the decreasing cost of computing,
and the ability to network thousands of processors together, can
advance machine vision, speech recognition, translation, and perception,
and learning systems. Not only did the neural network teach itself to
recognize cats, it also doubled its accuracy in recognizing objects in a
list of 20,000 distinct items, performing better than any effort before
it. According to the New York Times, this is a pretty huge deal
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