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How Google Retooled Android With Help From Your Brain


When Google built the latest version of its Android mobile operating system, the web giant made some big changes to the way the OS interprets your voice commands. It installed a voice recognition system based on what’s called a neural network — a computerized learning system that behaves much like the human brain.
For many users, says Vincent Vanhoucke, a Google research scientist who helped steer the effort, the results were dramatic. “It kind of came as a surprise that we could do so much better by just changing the model, ” he says.
Vanhoucke says that the voice error rate with the new version of Android — known as Jelly Bean — is about 25 percent lower than previous versions of the software, and that this is making people more comfortable with voice commands. Today, he says, users tend to use more natural language when speaking to the phone. In other words, they act less like they’re talking to a robot. “It really is changing the way that people behave.”
It’s just one example of the way neural network algorithms are changing the way our technology works — and they way we use it. This field

Source: Seven'o'wayS ™ - The Complete Techie

LAP LAMBERT Academic Publishing Applications of Neural Network in Long Range Weather Forecasting: In the context of smaller geographical region (i.e., Chhattisgarh State, India)
Book (LAP LAMBERT Academic Publishing)

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Monday prosper reading material...

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The Electric Monks  — Huffington Post
Through this process, electrodes connected to a device known as an electroencephalogram are placed on a subject's scalp and the activity of their neurons are documented through what are known as neural oscillations. ... Although we still don't fully ...

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