如果说前50年是AI的潜伏期，那么，2017就是人工智能的全面爆发年。我们在各行各业都可以看到AI的身影，包括各厂商推出的自研AI算法，以及满屏的基于AI的智能化探索和研究，无可否认的是，人工智能技术已经渗透到生活的各个领域当中。那么，在AI技术实际落地的过程中，会遇到什么样的瓶颈?基于深度学习的框架这么多，企业该如何选择最适合自己的那一条道儿?12月9日UCloud收官战，聚焦AI技术的落地实践，通过高可用的异构AI计算平台构建过程、如何流程化地生产和发布AI产品、及深度学习性能优化工具和实现等内容分享，为开发者在快速落地AI应用和产品上提供了一些可用的方法和途径。美团丁雪涛：美团配送智能网...
If the first 50 years are the incubation period of AI, then, 2017 is the full year of the outbreak of artificial intelligence. We can see the figure of AI in all walks of life, including the self research AI algorithm launched by various manufacturers, and the intellectualized exploration and research of AI based on full screen. It is undeniable that AI technology has penetrated into every field of life. So, in the actual process of landing AI technology, will encounter bottlenecks what? Framework based on deep learning so much, how the enterprise should choose the most suitable for the way their UCloud? December 9th finale, landing practice focusing on AI technology, the high availability of heterogeneous AI platform construction process, how to process production and release of AI products, and deep learning performance optimization tools and achieve content sharing calculation for developers in the fast landing AI application and provided some of the available methods and ways. United States regiment Ding Xuetao: the United States group distribution intelligent network...
