It has been announced that Google has made its machine learning system, known as TensorFlow, freely available and open source. The company has said that it hopes the decision will help to accelerate the developing field of machine learning.
Machine learning is apparent in a number of the company’s products, including the Google Photos app, which automatically detects people and places, Google Translate and most recently, in an Inbox app, which can scan and automatically write replies to e-mails.
The move gives startups and innovative minds the opportunity to explore a developed piece of technology and echoes a similar decision made by Amazon recently.
Products like TensorFlow might be seen as an indication that machine learning or “AI”, still has a long way to go and the potential appears unlimited. However, it’s important not to under-estimate the value that machine learning robotics can already bring to the global economy.
Source: Google’s machine learning system has gone open source
Explore the deep machine learning debate and potential role of AI in a positive future for to the global economy through a pair of DIF 2015 online headline act events on November 18th. At 15:00 GMT, Michelle Unger, the voice of Watson will talk about IBM’s remarkable machine, followed at 16:30 GMT by Jeremy Howard, CEO at Entilic and Rand Hindi, CEO at Snips, discussing how deep learning is changing lives.
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