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What kind of AI mobile phone? China Telecom says this
sourceWorld Wide Web
time2018/05/18
- [Global Times reporter Zhao Jue Cheng] With the popularity of 4G networks and Netcom, mobile phones are carrying more and more responsibilities. From WeChat, watching videos, to calling cars and ordering takeaways, mobile phones have become the “master” of digital age.
[Global Times reporter Zhao Jue Cheng] With the popularity of 4G networks and Netcom, mobile phones are carrying more and more responsibilities. From WeChat, watching videos, to calling cars and ordering takeaways, mobile phones have become the “master” of digital age. However, as the most intimate “electronic partner” of people, the mobile phone still remains at the “smart stage”. With the rapid development of artificial intelligence, mobile phones are also faced with a new problem: Does it have "intelligence"? On the 17th, China Telecom issued the "AI Terminal White Paper" (hereinafter referred to as the "White Paper") in Beijing for the first time. AI phone definition.
AI mobile phone = AI calculation + AI application
The year 2018 is China Telecom’s 10th year of mobile communications service operation. In the past decade, mobile terminal products have experienced the evolution from the evolution of functional machines to smart machines, from the evolution of smart machines to the development of full Netcom intelligent machines. Today, China Telecom hopes to lead the mobile terminal to another "evolution."
From intelligence to intelligence, although there is only one word difference, it requires the mobile phone to achieve breakthroughs in multiple levels such as chips, algorithms, and applications. According to the definition in the White Paper, "AI handsets refer to all Netcom handsets that provide AI computation based on integrated scheduling of dedicated AI units or general hardware units (CPUs, GPUs, DSPs) and load deep learning AI applications."
The “White Paper” comprehensively expounds China Telecom’s understanding and requirements for AI mobile terminals, and defines the artificial smart phones from the aspects of AI computing power, AI capabilities, and AI applications. In order to improve the AI mobile phone capabilities and experience for the traction industry chain, the White Paper puts forward requirements for hardware computing units and deep learning frameworks in terms of platform requirements, and features such as face recognition, voice assistance, scene recognition, and system optimization. , performance requirements; application requirements define beauty, background blur, photo classification, AR video, translation and other AI application experience needs.
According to the "Global Times" reporter, in order to empower the terminal industry, China Telecom has also introduced AI service applications. The "White Paper" also defines smart code number security, unified account, winglet housekeeper, smart cloud, smart health cloud, etc. AI service applications implement requirements on the terminal.
At the press conference that day, China Telecom’s Tianyi Telecom Terminal Co., Ltd. also announced the in-depth cooperation with Hisense, Lily, Guangxin, and Little Pepper manufacturers to collect four thousand yuan AI mobile phones, integrating the safe and unified smart code of China Telecom. AI products such as account numbers, winglet stewards, smart cloud, and smart health cloud services provide new intelligent experiences for mobile users in areas such as information security, Internet accounts, smart homes, and cloud services.
Artificial intelligence is "unstoppable"
He was able to put forward the industry’s first AI mobile phone standard. Lu Liangjun, deputy general manager of China Telecom’s marketing department, told Global Times that telecommunications is neither a handset maker nor AI’s black technology, but Telecom has seen the development of the mobile phone industry. trend.
Three years ago, China Telecom and China Unicom jointly launched a full range of standard terminal vendors. Since 2015, the standard has been recognized by national and international standards organizations and has become one of the universal standards for global terminals. Today, China Telecom once again sees AI as an unstoppable trend in the field of mobile phones. Behind this is the rapid development of artificial intelligence in China and the introduction of policies related to artificial intelligence.
In recent years, the scale of the artificial intelligence industry in China has been continuously expanding. According to data released by the China Institute of Information and Communication Technology, the size of the artificial intelligence industry in China in 2017 was 21.69 billion yuan, and the number of artificial intelligence companies in China was nearly 1,500, ranking second in the world. In 2017, the "New Generation Artificial Intelligence Development Plan" and the "Next Generation Artificial Intelligence Industry Three-Year Action Plan (2018-2020)" were released one after another. The artificial intelligence industry has risen to a national strategy.
“The development of the artificial intelligence industry is also reshaping the mobile phone industry. At this time, someone needs to take responsibility for the innovation of the collaborative industry chain.” Industry insiders said that the release of the “White Paper” will promote the entire Netcom terminal industry to achieve cloud management AI The integration of capabilities, leading the integration of AI's entire industrial chain resources, will have a profound impact on the entire industry chain of the mobile phone industry.
The new main battlefield of the mobile phone industry
"AI has become the main battleground and watershed for the mobile phone industry," said Lin Ruijie, deputy director of the Internet and Software Department at Tell Labs. Since 2017, AI technology has gradually landed on terminal applications. The global mobile phone “Big Three”—Samsung, Apple, and Huawei are all making inroads into AI mobile phones. Telecom also joined 11 vendors to launch 17 AI terminals in the first batch.
In September 2017, Huawei exhibited the latest Kirin 970 chip at the International Consumer Electronics Show in Berlin. This is also the world's first mobile AI chip. On September 13 of the same year, the iPhone X debuted, and its A11 processor also had built-in bionic computing units that could simulate neural networks. In addition, Qualcomm and ARM have also deployed mobile AI to upgrade the processor.
Lu Liangjun told the Global Times reporter that breakthroughs in technology and applications are the main forces that drive the evolution of "smart" to "wisdom." At present, the computational power of professional AI chips continues to increase, AI algorithms have become more mature, and AI applications have become increasingly popular. At the same time, the role of mobile phones is also being transformed into personal assistants, professional cameras, and social media. The enhancement of capabilities and the highlighting of demand have jointly raised the demand for mobile phone AI.
Market research company Gartner predicts that by 2022, about 80% of smartphones will integrate AI functionality. The company believes that the AI function will become a means for smart phone manufacturers to increase product differentiation, acquire new customers, and retain existing users.
"Smart phone to AI mobile phone will have an experiential leap," Lu Liangjun said, the future AI Netcom terminal will integrate China Telecom's network security, big data, cloud computing AI capabilities, in the AI camera, AI voice assistant, AI scenario intelligence Under the scenarios of intelligent management of end users, etc., it brings users a new smarter experience. “When you use an AI phone and use it back to your smart phone, you will feel that there is no ‘temperature’.”
"In this wave of AI, the mobile phone industry may appear the next millet," an industry expert told the Global Times reporter that AI mobile phones are currently on the eve of a full-scale eruption, and this field will usher in even more in the future. new player.
Article Source: Global Network
