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Google Puts Souped-Up Neural Networks To Work
holy_calamity writes "A machine learning breakthrough from Google researchers that grabbed headlines this summer is now being put to work improving the company's products. The company revealed in June that it had built neural networks that run on 16,000 processors simultaneously, enough power that they could learn to recognize cats just by watching YouTube. Those neural nets have now made Google's speech recognition for U.S. English 25 percent better, and are set to be used in other products, such as image search."
What is the proposed name of this, ehm, highly innovative product?
Please move back into the reality distortion field.
If Pandora's box is destined to be opened, *I* want to be the one to open it.
How long until Google starts using this for face recognition?
That totally does not bother me. These methods are easily defeated by Burqa technology, invented by Muslims ages ago.
If Pandora's box is destined to be opened, *I* want to be the one to open it.
I've often wondered how "sucks" got to mean something bad.
In today's news, google announced that a new algorithm has achieved a 90% success rate in identifying video's containing cats on youtube. The algo shouts "cats" every time a video is started, and since 90% of youtube video's contain cats, the algorithm has obtained a success rate of 9 in 10.
Computer knows I'm socially awkward and instead offers to simulate a human female's speech while reciting lines from Star Trek.