In open sourcing the TensorFlow AI engine, Google showed that, when it comes to AI, the real value lies not so much in the software or the algorithms as in the data needed to make it all smarter. Google is giving away the other stuff, but keeping the data.
TensorFlow, you see, deals in a form of AI called deep learning. With deep learning, you teach systems to perform tasks such as recognizing images, identifying spoken words, and even understanding natural language by feeding data into vast neural networks connected machines that approximate the web of neurons within the human brain. If you feed photos of cats into a neural net, you can teach it to recognize cats. If feed it conversational data, you can teach it to carry on conversations.
After the rise of cloud computing, in which companies like Amazon and Microsoft rent access to the vast processing power of the net, we all have access to a vast arrays of machines. But the richest data sits inside massive companies like Google and Facebook. Billions of people use their services, which trade in a rich trove of information, from text to photos to videos to speech and beyond. Both companies are hard at work building powerful AI software. But their real competitive edge comes from having a vast quantity of high quality data they can use to teach this software to “think” more like a human.
Credits:
http://www.wired.com/2015/11/google-open-sourcing-tensorflow-shows-ais-future-is-data-not-code/
No comments:
Post a Comment