Sony joins open source AI space

deep learning


Sony has joined the bandwagon of open source artificial intelligence (AI) by releasing the code of its proprietary deep learning framework ‘Neural Network Libraries’. The latest move is aimed to expand the development of deep learning programs.

Neural Network Libraries supports dynamic and static computation graphs. The libraries set also supports functions, optimisers and operators for neural networks. The framework is written in C++11. However, developers can access the code using C++11 or fetch the data using Python API.

“Sony’s R&D Platform and System R&D Group have used these core libraries as a base for products and services that incorporate deep learning, the company said in a statement.

The deep learning framework has been used in smartAR app AR Effect, activity tracker Lifelog and contract price prediction solution Price Estimation Engine.

A copy of existing frameworks

Sony has extensively used the library on Ubuntu 16.04, Windows 8 and 10 machines. The framework seems quite similar to existing frameworks like TensorFlow, Then and (Py)Torch. However, Sony is touted to offer unique offerings through the latest open source development.

It is worth noting here that the Japanese company has not described any comparison with other tools. Also, the USP of the framework has not been revealed officially.

Having said that, Sony has finally taken the open source way to bring developers on board and get expanded in the emerging space of deep learning. The company acquired AI company Cogitai to begin with its smart developments to counter Apple, Google and Samsung.

You can access the Neural Network Libraries code from Sony’s Nnabla repository on GitHub. The code includes a layer of Python interface functions alongside the C++ core libraries to ease your deep learning production.


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