by Steven Musil
Google scientists working in the company’s secretive X Labs have made great strides in using computers to simulate the human brain.
Best known for inventing self-driving cars and augmented-reality eyewear, the lab created a neural network for machine learning by connecting 16,000 computer processors and then unleashed it on the Internet. Along the way, the network taught itself to recognize cats.
While the act of finding cats on the Internet doesn’t sound all that challenging, the network’s performance exceeded researchers’ expectations, doubling its accuracy rate in identifying objects from a list of 20,000 items, according to a New York Times report.
To find the cats, the team fed the network thumbnail images chosen at random from more than 10 billion YouTube videos. The results appeared to support biologists’ theories that suggest that neurons in the brain are trained to identify specific objects.
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