Google’s TensorFlow Machine Learning System Is Now Open Source

“It’s a highly scalable machine learning system – it can run on a single smartphone or across thousands of computers in data centres”.

Google is in the former camp, and on Monday, the company took a big step toward building (or letting someone else build) artificial intelligence. For example, it’s the technology behind facial recognition – the ability to see pictures of two different faces and recognise that they are the same person. Google says TensorFlow is used today in a number of its most visible products, including image search in Google Photos, speech recognition systems, Gmail, Google Search, and more. Allowing the curious tinkerers of the software world open access to the AI tools Google itself uses will only work to bring fresh ideas to the company. Google uses it in everything from Search to Photos to Inbox. They would have spent time and energy trying to fix problems that Google had already solved in their software. Be it searching about any historian or anything related to any dignitary or a cinema star the first thing that comes to our mid to get the knowledge about all these personalities is Google search.

Deep-learning systems have to be built to perform specific tasks and trained with massive amounts of data, said Dr. Cristianini and others. The Machine Learning is getting into a complex place, where researchers are developing a computer models that can see and understand what it is looking at. However, Google’s is considered the most advanced system.

Surprisingly, since the software is open source, it means Google is giving it out to the public for free.

Machine-learning uses processes akin to how our brains work, with algorithms creating neural pathways to remember information that can easily be pulled up again. The machine can then learn how to have a conversation with someone. While the machine’s abilities still remain below that of a child, the technology is always improving. In making technology more intelligent, it becomes easier and more beneficial for us to use.

He added Google had shared TensorFlow ahead of its release with a few people.

According to Eric Schmidt, executive chairman of Google’s parent company – Alphabet Inc, Google started to practice machine learning on its mobile products back in 2010, and now most of their core products are utilizing the theory to provide smarter and more efficient services to users.