[Bloomberg] 2016 Juxian study machine learning ecological panorama 3 Machine Intelligence – change t www.sac.net.cn

[Bloomberg] 2016 Juxian study machine learning ecological panorama 3: machine intelligence to change the world – new technology Sohu Zhi Yuan compiled source: oreilly Zilis, James Author: Shivon Cham, Liu Xiaoqin, Hu Xiangjie, Wen Fei’s New Chi Yuan to start a new round of recruitment: COO, executive editor, editor, senior editor, compiler director of operation manager, Consulting Director, administrative assistant in 9 position overall opening. Resume: jobs@aiera HR WeChat: new Zhi Yuan COO and executive editor of the highest salary offer over 1 million; to provide the most complete training system, higher than the industry average wages and bonuses for the backbone of the staff. Join the new wisdom yuan, and artificial intelligence industry leaders to join hands to change the world. [introduction] Bloomberg new Zhi Yuan Beta team reviewed the global machine learning 2016 years of development, all aspects of technology, industry application, summarize and look forward to the future. See the core of the machine learning ecological panorama 3. (the Bloomberg / Beta team) about a year ago, we published a "Intelligent Company" machine of the year ecological panorama (The current state of machine intelligence 2), since then we have been privileged to witness a lot of activity in this area. This year’s 3 edition of the ecological panorama, than the first edition of two years ago, an increase of 1/3 of the company, but also more detailed, as comprehensive as possible, but it has only touched the surface of this field of infinite vitality. As with the case in the past few years, investors are still on the "machine intelligence problem first" bell — we invested 35 machine Intelligent Company, they focus on solving the problems from the security, to develop a variety of recruitment software. (our funds pay close attention to the future work, so get some investment in the field of machine intelligence than others.) At the same time, the method of machine intelligence is still increasing speculation: "deep learning" this word has now represents a series of significant breakthrough, like "big data" this is also speculation vocabulary. We are concerned about whether the founders of a company using the correct method of attention to solve the problem, rather than a whimsical approach. We like people who are cautious about the application of technology. What was the biggest change last year? We are taking the view from different people. In the 1 edition, our sources are almost exclusively founders and scholars. Then, we began to increase the investor (including private investors and public investment) point of view. Now, the vast majority of our information comes from existing companies that try to use machine learning in their business. The "shop" (one stop) for the first time in the machine intelligence stack has come into people’s vision — even though it takes a year or two to formalize it. The maturity of this stack can explain why.相关的主题文章: