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Programmers are going crazy for free Google software that creates self-learning computers

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Google just expanded its free software for creating smart, self-learning computers.

The company added the ability to run this software, known as TensorFlow, across a network of many computers — the same way that Google uses it for its own operations. 

This means that anyone with access to a bunch of computer servers can create their own smart computer that can basically program itself. Set the computer program up with whatever it is you want it to learn. Give it a bunch of data to study and then the computer knows how to do things that, until now, only humans could do like talk, recognize pictures, draw, etc.

Every major tech vendor has its own home-grown "machine learning" tech that it is making available to programmers as a service to integrate into their apps. 

But programmers have gone nuts for Google's.

Google first gave away TensorFlow as a free and open source project last November, posted on GitHub, the place where these things are shared.

In the few weeks it was available on GitHub, it became the "most forked" project on GitHub in 2015, according to a website that tracks such things. 

That means that more developers downloaded it and made their own versions of it last year than other project on GitHub: 4,355 forks to be exact.

Such sharing is the reason why companies like Google and Facebook give away so much of their software like this. The idea is to create communities of users, with everyone freely modifying the project. Some people will then submit features to back to the original project. In this case, 187 people have contributed to the main project, offering over 3,000 changes.

With the new version of TensorFlow that can run across many computers, it becomes faster and easier to train your computer. The more data the TensorFlow system can consume, the more sophisticated the things it can learn to do.

One example of TensorFlow is a project where a network of computers is "dreaming" up handwritten numbers. This is precursor to teaching a computer how to handwrite.

Google computer numbers
Otoro.net

Machine learning is the foundation of the future. Google's Eric Schmidt predicts that machine learning startups will become the next crop of Googles, Facebooks and huge companies, starting in the next five years.

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Julie Bort was Business Insider's Editor at Large for the Tech team. She loves investigating stories and shedding light on the tech industry's most amazing people.Here's a small sample of some of Julie's work.Former Pinterest employees describe a traumatic workplace where managers humiliate employees until they cry, Black people feel alienated, and the toxic culture 'eats away at your soul'Sex, tequila, and a tiger: Employees inside Adam Neumann's WeWork talk about the nonstop party to attain a $100 billion dream and the messy reality that tanked itInsiders say WeWork's IT is a patchwork of cheap devices and Band-Aid fixes that will take millions to fixWeWork's toxic phone booths were created in-house by its Powered by We business70-hour weeks and 'WTF' emails: 42 employees reveal the frenzy of working at Tesla under the 'cult' of Elon MuskElon Musk works so many hours at Tesla, employees are constantly finding him asleep under tables and desksHow this woman went from a Pizza Hut employee to a founder of a $4 billion startupAn Oracle insider explains how some salespeople gamed the system to sell more cloudTHE TAKEDOWN OF TRAVIS KALANICK: The untold story of Uber's infighting, backstabbing, and multimillion-dollar exit packagesMicrosoft is in talks to buy GitHub, a startup at the center of the software world last valued at $2 billionThe alarming inside story of a failed Google acquisition, and an employee who was hospitalizedInside Facebook's plan to eat another $350 billion IT marketHow a registered sex offender wound up living in an Airbnb hosting unsuspecting guestsA controversial ex-banker is the person who really runs Twitter — and he's gambling the company's future on one risky betSecret passages and skipped meals: Oracle's CEO gave us a rare peek at what it really takes to run a $37 billion companyHP told some employees to choose between becoming contractors with no benefits or being fired without severance'I felt like we were being extorted': Customer says Oracle tried to strong-arm him into a cloud saleHow the queen of Silicon Valley is helping Google go after Amazon's most profitable businessAirbnb host: A guest is squatting in my condo and I can't get him to leaveLIES, BOOZE, AND BILLIONS: How one of the fastest-growing startups in Silicon Valley history raised $580 million then spiraled out of controlGitHub is undergoing a full-blown overhaul as execs and employees depart — and we have the full inside storyWhen she's not writing for Business Insider, Julie can usually be found on the trails, on my mountain bike, or on my skis, if you know where to look.