Intel Song Jiqiang: AI has reached the critical point of breaking out

Song Jiqiang pointed out that with the breakthrough in computing power, the outbreak of data flooding and the continuous innovation of algorithms, the development of artificial intelligence has reached the critical point of the outbreak, which means that we are in the “golden age” of AI development. Intel is very optimistic about the future of AI. There are infinite possibilities. As the next round of major computing innovation trends, AI will undoubtedly disrupt the development of the industry and enhance the competitiveness of enterprises.

With the rise of the concept of artificial intelligence and the initial construction of the ecosystem, the popularization of AI is promoting the transition from finance to medical and consumer industries. Song Jiqiang said that at present, it is the best time for companies to add AI elements to their products, services and business. To this end, Intel has established a common architecture for machine learning and deep learning. After the acquisition of Nervana is completed, Intel will form a more complete system of its own in AI software and hardware products.

Currently, Intel has the most widely deployed machine learning platform. At the same time, the Intel Xeon Convergence Processor can drive higher-performance general-purpose machine learning requirements. In response to more diversified needs, Intel introduced a combination of Xeon + FPGAs that can be used for low-power performance calculations in cloud middle/front-end devices. In 2017, Intel will also integrate Nervana's superior resources to launch Lake Crest, a chip specially designed for deep learning, to meet the top neural network training performance requirements.

In addition to hardware platforms including Xeon processors, Xeon Phi processor, Nervana platform and FPGA, Omni-Path network, 3DXPoint storage and other technologies, combined with Intel's optimized mathematical library for deep learning/machine learning (Intel In addition to MKL) and Intel DAAL, Intel also offers a variety of deep-learning open source software frameworks for multi-node architectures at the software level, such as Spark, Caffe, Theano, and Neon, as well as promoting front-end and back-end collaborative AIs. Development of the layout of the Saffron, TAP, Nervana system, Movidius tools and platforms, with the hardware chip platform to achieve end to end landing. The full stack layout allows Intel to maximize the compatibility of hardware and software in order to better help the industry digest the differences arising in the rapid development.

Artificial intelligence changes human life in an unprecedented way, image recognition technology is making medical diagnosis more accurate, smart retail is revitalizing people's consumer experience, and automated driving is making people's travel more intelligent and safe. In the foreseeable future, the integration points of various industries and AI will also become more abundant, and bring about broad prospects for economic transformation. Dr. Song Jiqiang pointed out that there are two prerequisites for moving from technological upgrading to industrial upgrading. The first is the breakthrough in computing capability, which is the improvement of artificial intelligence capabilities, performance and adaptability, and the second is the construction of an ecological environment that creates a healthy industry environment so that more people can learn and participate in AI-related project development. Come.

"Intel's goal is to allow AI to be fully utilized in different industries, maximize the social value created by AI, and ultimately promote the upgrading of industries - because only the development of the industry can truly honor the value of technology. Song Jiqiang said.

At present, Intel is making every effort to promote the real popularity of AI and hopes to become the backbone of AI ecological construction by virtue of its consistent experience and advantages in data processing, storage and distribution. To this end, Intel has introduced the Intel Nervana Artificial Intelligence Institute to a wide range of developers. The Intel Developer Zone for Artificial Intelligence provides frameworks, tools, and developer training courses to facilitate the training and use of tools. In addition, Intel is constantly supporting open data exchange and knowledge sharing. Taking healthcare as an example, BIO IT partners plan to support open data exchange and knowledge sharing under the premise of protecting privacy.

Intel expects that the demand for AI computing will increase by 12 times by 2020. Song Jiqiang said that Intel will continue to follow the footsteps of Moore's Law to accelerate the development and implementation of AI applications through product technology innovation and ecosystem cooperation to promote the entire industry to embrace the AI ​​era. In the end, Dr. Song Jiqiang called for the government and relevant organizations to work together to gradually promote the integration of big data and AI in various industries and promote industrial penetration by gradually establishing industry standards.

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