Businesses everywhere have been copying Google’s techniques for years. It’s the first place entrepreneurs and marketers look when striving to improve their digital marketing strategies. Thanks to incredible machine-learning technologies, Google has been able to achieve this in their own marketing strategies, bringing in hoards of customers and setting their company apart as the number one search engine in the world.
Google has an incredible following thanks to their outstanding customer service. Everything they do is meant to enhance the user experience, and they’ve been excelling at that goal by using a new machine-learning system called TensorFlow. Watch out, because Google is now sharing that capability with the public.
The Evolution of TensorFlow
Though Google has always been at the top of the pack, it hasn’t always been as easy and convenient to use as it is now. “Just a couple of years ago, you couldn’t talk to the Google app through the noise of a city sidewalk, or read a sign in Russian using Google Translate, or instantly find pictures of your Labradoodle in Google Photos,” wrote CEO Sundar Pichai.”Our apps just weren’t smart enough.”
TensorFlow is a new operating system that has made machine-learning faster and more convenient for consumer use. “It’s faster, smarter, and more flexible than our old system,” Pichai explained. “We use TensorFlow for everything from speech recognition in the Google app, to Smart Reply in Inbox, to search in Google Photos. 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.”
Google’s Holiday Gift to Businesses
The TensorFlow technology is the best in the biz for machine-learning technologies. Even better, everyone in the machine-learning community will now be able to explore the system and develop their own versions of the tech.
TensorFlow is a one-stop-shop for everything regarding the expanding machine-learning field. “It’s a highly scalable machine learning system—it can run on a single smartphone or across thousands of computers in datacenters,” Pichai revealed.
Essentially, this product is meant to increase the speed and accuracy of machine-learning for anyone in the field. This is meant to further machine-learning technology and improve the user experience across all forms of technology.
Google’s Attempt to Expand Machine-Learning Technology
It may seem a little odd that Google is choosing to share the technology that sets them apart with their competitors. But the company seems to be operating with the intentions of furthering the work as a whole. “It no longer makes sense to have separate tools for researchers with machine learning and people who are developing real products,” Greg Corrado, a senior Google research scientist explained to PCMag.com.
Overall, Google has admitted that machine-learning is still in the early stages. For that reason, it needs help from a community of voices, ideas, and innovations in order to develop fully. Corrado explains that Google wants to create “one set of tools that researchers can use to try out their crazy ideas, and if those ideas work, they can move them directly into products without having to re-write code.”
With the release of this technology, machine-learning will become bigger, faster, and more accessible around the world. Amazingly, this open-sourced technology could be the key to robotic technologies and other supercomputers in the very near future.