2017 may be truly the AI year, AI technology, regardless of technical surface, product surface, and even the social side, have specific results, but also triggered different echoes. In the past, people of television generation discussed the influence of television on People's Life, network and mobile generation talk about how the network world and mobile devices to change people's social relations, now the AI era is coming, such a analogy, even beyond the human intelligence technology, after 2017 years of development, More impressive progress will be made in 2018. Even, the AI industry also affects China and the United States on the strength of the competition, which is the AI and other technology technology is different. Ai walked more than half a century from science fiction theme eventually become human society a ring AI is not strictly a new technology, after World War II Alan Turing several research has opened the AI technology precedent. 1952 when Turing wrote the first set of chess program, limited by the computer's ability to compute, the so-called AI is still only a calculation of the conjecture on paper. But 65 years later, DeepMind Alphago swept the Chinese and Korean Weiqi experts, to the winner of the posture of AI technology has been able to surpass human intelligence. Today's AI has shifted from an idealized sci-fi concept to a practical technology, and the development of AI in the 2018 will probably be transformed from a Third-party assistant role (third person) to the first man to dominate people's life situations. AI technology evolved over half a century, from the principle of derivation, improve the performance of hardware, and finally came to the massive data collection and calculation method of sophistication, but to deploy it to the market, or even provide real services or real products, the pace may be beyond the expectations of many people, Even to the existing industrial structure and business model to launch an unexpected impact. Ai developed to 2018 years, Venture beat that its meaning from the metaphysical virtual intelligence, into the market on the conventional services and products, in other words, for the public, AI will fade away the mysterious technical terms, as a platform or device in the real services and products; For companies, AI can be converted into more efficient business tools that can discern past missed or missed opportunities, and even create new business opportunities such as smart Voice assistants, new video games, self-driving, or more unique and consumer-driven services and products, On the other hand, the enterprise's IT architecture will be with the AI chip and related open architecture, the introduction of a rare update tide. This article will be from the consumer end of the application and the enterprise side of the market, speculation in 2018 will be what significant changes. High-end mobile phone to start AI application machine vision to become the main battlefield with the smartphone market saturated, mobile market development is not expected to change too much, especially in the medium market. But as the mainland's mobile phone brands penetrate the high-end market, particularly Apple and Huawei launched AI-designed mobile processor chips, the 2018-year high-end mobile phone market to add more topics. ABI Theory believes that the smartphone industry with the traditional software and hardware growth space narrowed, will enter the ' post-Mobile era ', the future of mobile phone development will be AI, voice control, gesture operation, and real experience, and so on, the future of the new generation of mobile phone specifications and use experience standards. ABI research to observe 2018 years later in the mobile phone industry, AI may occupy a pivotal position, which is currently in the AI technology invested deep in Google and Amazon, will be a big profit. ABI Research believes that the two companies have the opportunity to guide the development of new generations of mobile phones, both from the traditional technology industry hardware constraints, but also the rise of the network generation of technology giants, technological capabilities from the software, for the development of user experience fascinating experiences and achievements (such as YouTube and the Electronic Business), Especially in the field of AI, Google in the development of resources and neural learning architecture has a pivotal position, Amazon in the Intelligent voice assistant and human interface with rich experience. In contrast to Google and Amazon's ' Pathfinder ' in the post-Mobile era, ABI finds that Apple, Samsung Electronics (Samsung Electronics), Microsoft (Microsoft), Huawei and so on are now the "followers" of the post-mobile era. Ai is regarded as destroying and creating the existing market and experience of the weapon, for the traditional mobile phone manufacturers, AI is a market topic and technical breakthrough of the representative value, but in order to protect the existing enterprise investment and organizational structure, the destructive innovative technology is usually more conservative attitude, the investment pace of conservatism and gradual, So in the post-mobile era, these followers are more likely to be challenged by the creator. ABI is interesting, Apple's conservative attitude to Ai has been plagued by outside questions, in the attention to collect consumer digital footprint now, Apple's attention to user privacy and protection, user information can not leave the terminal device, but Google and Amazon are very much to collect, The most important data sources in neural network learning architecture and consumer behavior analysis are achieved. However, given that Apple, Samsung, Huawei has an absolute market dominance in the current mobile terminal device, and has a voice in making phone specs and AI hardware, Google and Amazon may be able to grab market topics for creative presentation and scenario applications, but not necessarily in 2018 for the mobile industry, Not to mention the bitter experience of Amazon in developing its own-brand handsets. AI applications on mobile phones, machine vision is undoubtedly the most important link. With the introduction of the face ID and A11 bionic chip, and finally the phone on the AI hardware and software to do a complete combination, but the manufacturers of machine vision in the end how the application, there is a very different differences, this divergence shows in the AI hardware architecture differences. According to Digitimes study, AI Architecture develops CPUs, GPU, DSP (Digital Signal Processor, Digital signal processor), DLA (Deep Learning, Accelerator, The depth learning accelerator) has different footsteps, this is closely related to the difficulty of image processing as a first-order, medium-level, high-end, but also represents the mobile terminal device, which is the first step of acquiring and processing machine vision, regardless of whether the data is accessed in the device itself (apple) or cloud data ( Google), or as part of a chip solution (QUALCOMM), the 2018 mobile industry AI Technology in the machine vision this will be the company to catch the fight between the battle battlefield.
