On May 20, baidu open its depth on making machine learning platform. This release depth of machine learning open source platform belongs to the “au” open source organization, its core developers from baidu deep learning institute (IDL), Microsoft Asia research institute, university of Washington, New York university, the Hong Kong university of science and technology, Carnegie meilong university and other famous companies and universities.
Through the open source platform, developers can get free from all over the world better and easier to use the machine learning algorithm source code, thus significantly reducing development and deployment of distributed machine learning system and related application threshold. Including headlines now and the car home, several companies have benefited by the open platform.
As the layout of the older players in ai, baidu has the strength of the leading industry. Baidu deep learning institute (IDL) in 2013 to create and Andrew Ng joining in 2014, baidu DMLC distributed depth of machine learning open source projects (hereinafter referred to as “the union”) has been done to explore in the field of multiple applications of deep learning, launched such as xgboost (speed Boosting model) with good effect, CXXNET (extreme deep learning c + + library), Minerva, highly efficient and flexible parallel deep learning engine) and the Parameter Server (one hour training data 600 t), and other products, in speech recognition, OCR recognition, face recognition and computing efficiency released more mature products.
With a series of lead baidu chose to open source the depth of machine learning platform, why clarificaiton will own the core technology?
Careful comparison, it is helpless in the face of the industry of foresight.
Embracing the world: the charm of open source
Open source, just as its name implies, is to open its source code to others access to and use, though it seems silly, but many historical facts tell us embracing the world also can let the world embrace you.
Counter attack is evidence of Android, iOS occupy the vast majority of the era of intelligent mobile phone operating system, Google‘s open source, having already no chance in front of the apple industry saw hope, since Android has more than half the market share, so that in the mobile Internet is popular today, Google can rely on the integration of it and its products to build their own powerful ecosystem. Born too, by contrast, the story of Windows mobile‘s hair awake enough, finally have to sponsor to Microsoft compatible with Android and iOS applications. In addition, as Microsoft‘s main application framework, on Microsoft. Net, hope it can open source to all platforms, and then repeat the JAVA of glorious history. It also proved that even by strong like Microsoft cannot let their products get the embrace of the world.
