In a post via the Official Google Blog Sundar Pichai announced today Google has made its Artificial Intelligence (AI) Engine open source. Called TensorFlow, this technology is the heart of Google apps such as Translate and Photos. Google’s decision to make its AI machine open source is designed to make these and other apps faster and smarter. TensorFlow utilises an amazing combination of mathematics, transactional data and pattern identification to continuously increase the speed and accuracy of the recognition of images, languages and even human voices, through iterative learning.
Google could have sold the technology over the cloud – virtually every application can afford to get smarter. But instead, the tech giant decided to make it open source. It’s scalable and can be used for one app on your phone or to crunch large genetic research datasets. TensorFlow is now open to everyone – from tinkerers to researchers, students and engineers.
Whilst the implications of this move are unpredictable, many industries will take advantage of the information and opportunity. So, why did Google open source this? Basically, because machine learning like human learning relies on accumulated experience, knowledge and choices gained through exposure to an ever-expanding volume of information. By making TensorFlow open source, Google has exponentially increased the potential exposures for this artificial mind, and human minds to it, greatly accelerating future development.
While the technology is very much still in its infancy in making it open source Google’s put this unique AI for apps on a newer and steeper learning curve.