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In 2018, the hottest vents of the moment are still artificial intelligence. The craze of artificial intelligence has swept across all walks of life, and all industries, such as the Internet of Things, smart hardware, smart home, autonomous driving, and electronics, have begun to frequently contact artificial intelligence. A new era has arrived, and in this new era, Chinese companies play an important role in it.
The core of artificial intelligence lies in the AI ​​chip. In this field, NVIDIA is one of the industry leaders, and its influence cannot be ignored. After the arrival of the era of AI chip, Nvidia is also a comprehensive layout of AI, according to the relevant research report, NVIDIA will become the leading supplier of artificial intelligence chip, the company is creating a standard artificial intelligence computing industry.
However, when the era of AI chips arrived, both giants and start-ups came to the same starting line. Therefore, in the field of AI chips, everyone wants to take the opportunity to become a new giant, and the real contenders are not only veteran giants such as NVIDIA, AMD, Google, but also more emerging startups, especially from China. AI chip company.
Artificial intelligence chasing
The pursuit of artificial intelligence is not only a contest between enterprises, but also a competition at the national level. In China today, artificial intelligence has risen to national strategy. As early as July 2017, the State Council issued the "New Generation Artificial Intelligence Development Plan". The plan pointed out that the strategic goal of China's artificial intelligence in 2020 is: technology and application are synchronized with the world's advanced level, and the artificial intelligence industry has become a new important. The economic growth point, the core industry scale exceeds 150 billion yuan, driving the relevant industries to exceed 1 trillion yuan.
On January 18, 2018, the National Artificial Intelligence Standardization Group and the Expert Advisory Group held an inaugural meeting. At the conference, the National Standardization Administration Committee announced the establishment of the National Artificial Intelligence Standardization Group and the Expert Advisory Group, which is responsible for overall planning and coordination of China's artificial intelligence standardization.
The meeting implemented the spirit of the 19th National Congress of the Communist Party of China to promote the deep integration of artificial intelligence and the real economy. In addition, it also interpreted the "Artificial Intelligence Standardization to Help Industry Development" and "Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence Industry (2018-2020) ", also known as the white paper. Promote the standardization of artificial intelligence and promote the development of artificial intelligence industry.
Just one day later, the Internet Development and Governance Research Center of Tsinghua SEM, in conjunction with Baidu, released the "Artificial Intelligence-Driven Digital Transformation of China's Economy - China Artificial Intelligence Social Cognition and Application Requirements Research Report" (hereinafter referred to as the "Report").
According to the report, artificial intelligence plays an increasingly important role in the digital transformation of many fields. With the rapid update and iteration of technologies and algorithms, new artificial intelligence application scenarios are emerging, and artificial intelligence has become the most important factor in the development of digital economy. The driving force.
As can be seen from the policy orientation and capital direction, artificial intelligence has risen to national strategy. The 19th National Congress clearly proposed to promote the deep integration of the Internet, big data, artificial intelligence and the real economy.
Foreign AI chip market
Foreign companies in the chip industry have always monopolized the core technology. In the era of AI chips, traditional chip giants have also turned to the field of AI chips. Among them, Nvidia is undoubtedly the undisputed leader in the AI ​​chip market. Due to the rise of artificial intelligence, Internet of Things, intelligent hardware, etc., the demand for AI chips in the market has been rising all the time, which makes NVIDIA look proud.
As we all know, AI chips emphasize deep learning ability, and deep learning is very scary for computing speed requirements. NVIDIA GPU chips can make a large number of processors parallel computing, which is ten times or even dozens of times faster than CPU. It has become an essential “material†for artificial intelligence research teams and enterprises, and is used by almost all AI startup teams at home and abroad. NVIDIA GPUs and platforms, where profits and benefits can be imagined.
However, it is still somewhat difficult for NVIDIA to dominate the AI ​​chip field. Other giants Intel, AMD and Google also have their own advantages. In the semiconductor market, Intel has always occupied a "leading position." However, the rise of artificial intelligence has caused the world's largest personal computer parts and CPU manufacturers to face severe challenges. In this context, Intel chose to join forces to counter NVIDIA.
In December 2017, Intel and AMD jointly launched a notebook chip that combines Intel processors and AMD graphics units, which caused a shock in the industry. The reason why the two rivals will come together is undoubtedly caused by the AI ​​chip boom.
In addition, the second echelon of Google is also trying to trigger a new subversion.
2017 is the year of the climax of the AI ​​chip boom, and as early as 2016, Google announced that it will independently develop a new processing system called TPU. The system is a dedicated chip designed specifically for machine learning applications. By reducing the computational accuracy of the chip, the number of transistors required to implement each computational operation is reduced, thereby enabling the number of operations per second of the chip to be higher. A fine-tuned machine learning model can run faster on the chip. Compared with CPU and GPU, TPU has improved the efficiency of TPU by 15-30 times and the performance by 30-80 times.
There is no doubt that the TPU is a perfect prototype of the AI ​​chip.
Chinese AI chip makers are emerging
Foreign AI chip market giants are battling, but this situation is different in China, and domestic startups are dominant. This major factor is accompanied by the implementation of major strategies such as “Made in China 2025†and “Network Powerâ€. The bigger reason is that the chip market has created opportunities for change and development because of the involvement of AI.
Chinese chip companies are also developing rapidly, and their strength cannot be underestimated. Such as Cambrian, Shenjian Technology, Horizon Robot, Bitland, etc., all have unique technical advantages in different subdivision scenarios of AI chips.
Cambrian
The Cambrian is the world's first AI chip company to successfully streamline and have mature products. This step is at the forefront of the world. At present, it has two product lines: terminal AI processor IP and cloud high performance AI chip. In 2016, it released the world's first commercial deep learning special treatment - Cambrian 1A.
The Cambrian team originated from the Institute of Computing Technology of the Chinese Academy of Sciences. The latter was the first national academic institution specializing in comprehensive research in computer science and technology in China. A group of high-tech enterprises such as Lenovo and Shuguang were born from the institute. At present, it is also an important shareholder of Cambrian Technology and a long-term partner of industry, education and research.
2. Shen Jian Technology
According to relevant information, Shenjian Technology was founded in 2016 by four technicians who graduated from Tsinghua University and Stanford University. It is an artificial intelligence technology company dedicated to deep learning processor solutions, dedicated to deep learning processors and compilation. The development of original technology makes it easy for all algorithm developers to use.
Shenjian Technology announced the AI ​​chip plan in October 2017, and revealed that its self-developed AI chips "Tingtao" and "Guanhai" will be launched in the third quarter of 2018.
3. Horizon Robot
The Horizon Robot was founded in 2015 by the former Vice President of Baidu Research, Yu Kai, focusing on the research of difficult processor chips based on deep neural network algorithms.
On December 20, 2017, Horizon Robot announced the launch of its two embedded artificial intelligence vision chips for smart driving and smart cameras. Among them, the embedded artificial intelligence visual chip for intelligent driving is named "Journey 1.0 processor", which supports high-performance L2ADAS system, which can simultaneously target pedestrians, motor vehicles, lane lines, traffic signs, traffic lights. Real-time detection and identification of 8 types of targets for preparation.
The camera-oriented Vision Chip is named "Sunrize 1.0 Processor", which combines the depth learning algorithm of the horizon and can be widely used in smart security, smart cities and other scenarios.
4. Bit Continental
According to relevant information, Bitcoin was incorporated in 2013 and is an early chip startup company. It has more than 1,000 employees worldwide, located in Beijing, Taiwan, and North America. The company currently sells billions of chips and has built a tens of billions of computing centers around the world.
In November 2017, Bitcoin announced the new brand SOPHON, focusing on the field of artificial intelligence, and also released the world's first tensor acceleration computing chip BM1680, as well as board SC1/SC1+, intelligent video analysis server SS1 and other products.
In addition, Bitland will release the second generation SOPHONAI chip BM1682 in 2018, and the computing power will be greatly improved. The third and fourth generations will be released in succession.
to sum up
Players in the field of AI chips don't stop there, and there are more technology companies and entrepreneurs coming in. Artificial intelligence is already recognized as a strategic technology that leads the future development direction. In the new round of international competition, the developed countries in the world want to master the dominance, and plan and policy around artificial intelligence, the core technology of artificial intelligence, top talents, Standard specifications, etc. are deployed to accelerate the development of artificial intelligence technology and industry.
The global technology giants are also constantly increasing investment in funds and resources to seize the commanding heights of artificial intelligence development. For Chinese AI chip companies, China's AI chip industry will be incalculable in the future under the multiple stimulus of national policies and capital technology.