The most important development of artificial intelligence in 2016: deep learning for all

Robotics> Robot Web News: The most important development in artificial intelligence and deep learning over the past year is not technology but a change in business models. In the past six months, all giants have opened their own deep learning IP open source. Bill Vorhies, editor-in-chief of Data Science Central and with years of experience in data science and business analysis models, analyzed the causes of the open source wave: Google, a latecomer to cloud services, took the lead in open source in order to attract users and expand the market; subsequently, giants sought to attract talents. Accelerating innovation has also been open source; the emergence of OpenAI has also played a role in promoting open source. Open source will make technology faster, but the dominant market will still be giants.

In the past year, there have been many things in the field of deep learning. There are many cases of slapsticks, such as Microsoft's use of up to 152 layers of neural networks (usually only six or seven layers), beautifully won the Image Net competition championship. But in the past six months, the most profound impact on deep learning has been the great shift in business models.

All of a sudden - it can be said suddenly, giants such as Amazon, IBM, Google, Facebook, Twitter, Baidu and Microsoft all open source code. Among them, Google also uses the company's flagship AI product, Tensor Flow, for free as a commercial customer.

From the end of 2015 to this month, the items listed below are open source.

If you are a Google commercial customer, or a developer who is willing to spend time on open source code, all these high quality IPs are for you to choose. So, what contributed to this wave of open source? Why is such a big change happening? The most advanced and amazing technologies of humankind are like promotional items in supermarkets.

This is indeed the case, but only half right. There are several reasons for promoting open source.

Leading deep learning and application

Of the 8 companies mentioned above, some are cloud service platforms. They want to expand their user base, while others, including cloud services, are digital technology companies with deep learning as their development engine.