Google publicly released TensorFlow on Monday, a powerful machine learning platform that many view as the tech giant's new central nervous system. Google touted TensorFlow as its second generation machine learning platform that will accelerate the implementation of neural networks across its services.
"TensorFlow is faster, smarter, and more flexible than our old system, so it can be adapted much more easily to new products and research," Google said in an official statement. " It allows us to build and train neural nets up to five times faster than our first-generation system, so we can use it to improve our products much more quickly."
Observers immediately recognize TensorFlows importance. For example, it is expected to drive Google's capacity to sift and collect data and burrow more invasively into people's lives, quickly becoming the search giant's new brain, according to Extreme Tech. Many are saying that this is not a bad thing, but rather an improvement for the Internet overall.
One of the marked distinctions in Tensorflow is its requirement for machines to be equipped with a graphic processing unit (GPU) as opposed to relying on the conventional central processing unit (CPU). This is the same approach used by Facebook to train its face recognition services, according to Wired.
Those who still cannot grasp the full nature and scale of TensorFlow can turn to Google Now for insights. With TensorFlow technology, Google Now is better able to collect and analyze user data input and provide not just accurate, but also more interesting content faster for the individual users.
