How did Intel's heavy gold bet artificial intelligence China market land?

【World Wide Web Reporter Burgundy】 November 21 news, before this, Intel announced that it will ship before the end of this year Nervana neural network processor (NNP), this chip is the first chip for neural network processors, The industry is quite concerned about this. Intel expects to use the upcoming NNP to make up for the AI ​​gap and invite Facebook, who is dedicated to deep learning and AI exhibitions, to participate in chip design.

Prior to Intel's investment in AI, Nvidia had already entered the artificial intelligence market with its parallel computing capabilities. On the other hand, Qualcomm, Intel’s biggest competitor, has invested in chip development that is good at executing AI programs. Several giants in the chip field have begun to invest in fierce artificial intelligence competitions.

For Intel, who is good at data processing, entering the field of artificial intelligence is an inevitable trend. "Artificial intelligence must be a disruptive technology. If you don't grasp a lot of industries, it will surely subvert it." Yang Xu, Intel's vice president and president of China, told Global World at the Intel Artificial Intelligence Conference.

Heavy Gold Betting Artificial Intelligence

In August 2016, Intel spent $400 million to acquire Nervana Systems, a deep learning company. Then it integrated the artificial intelligence related business units and established the artificial intelligence product business group (AIPG), led by Nervana co-founder and former CEO Naveen Rao. Intel CEO Brian Krzanich reports.

"In the past, Intel has added more computing power to the development of artificial intelligence technology. We have acquired companies that specialize in accelerating technology to supplement technology, and have acquired deep learning computing capabilities," said Yang Xu.

In March of this year, Intel paid USD 15.3 billion for Mobileye, an advanced driver assistance system (ADAS), to purchase a ticket for entering the field of unmanned vehicles.

From Intel's point of view, the development of artificial intelligence requires strong computing power and algorithm support. “The core of artificial intelligence is to analyze it like a human, and teach machines to analyze data like humans.” And this is Intel’s huge amount of money. Place: One is to supplement computing power, the other is to strengthen the algorithm.

Intel's layout for artificial intelligence is not limited to buying related technology companies, but also announced a series of initiatives to force artificial intelligence, including the alliance with Google to win over industry partners, establish the Intel Nervana Artificial Intelligence Committee to draw academic elites, and launch Intel Nervana Institute for Artificial Intelligence, collaboration with Coursera, Kaggle competition, etc.

"But the ultimate goal is still what I have always emphasized. We will provide basic technologies and core technologies, carry out extensive cooperation, quickly find areas for applications, and form breakthroughs. These areas are all in the real economy, and not just companies that just scrambled concepts. I never appreciate this, so what we need to do is to seek breakthroughs in specific application areas.” Yang Xu is very clear about Intel’s application of artificial intelligence technology.

Although Intel has to face rivals such as Nvidia and Qualcomm, its deployment in the field of artificial intelligence has already gained a lot of interest in the capital field. In November of this year, several rating agencies on Wall Street raised Intel's rating and said that investors should not ignore Intel's artificial intelligence.

Landing real economy

How can technology reflect value? Intel found a direction in the real economy. "After deep integration, the real economy can find new opportunities and opportunities for value addition and innovation, so this is what our technology companies should help and should advance. Technology itself must promote the development of all industries and industries," said Yang Xu.

Intel is good at data processing. Even after entering the field of artificial intelligence, the target is data processing. The use of artificial intelligence technology to improve data processing efficiency, from efficiency to service, value-added, to provide customers with targeted personalized services.

Last year, Intel’s cooperation with Midea provided smart sensors for Midea’s refrigerators. Thanks to Midea's smart refrigerator project, Midea combines its strengths in the field of smart home appliances with Intel's expertise in chip technology to create smart refrigerators with "the most powerful brain" for users. “This is a typical example of the food industry. Manufacturers find more value-added space through artificial intelligence technology.” Yang Xu believes that this is only the initial stage of artificial intelligence and will be applied to the development of artificial intelligence. In a wider field, the analysis of information will also achieve a more precise grasp and will be of great help to all walks of life.

Different from the past era of the PC era and information technology, artificial intelligence has obvious differences in both horizontal and vertical dimensions. In the horizontal direction, end-to-end data acquisition, transmission, and analysis are required. Finally, after the results of the analysis are deduced, the value-added services are pushed back. Therefore, the development of artificial intelligence to the terminal to the back end must be reconsidered to consider the future of massive amounts of artificial data transmission. In the longitudinal direction, it is the most basic computing capability, that is, the computing power of various data processing.

To achieve a deep integration with the real economy, we must explore the needs of the industry from a number of complex industries, and further tap the needs of the deep, find the products beyond the previously unanticipated needs, and find a space for consumers to increase value.

“We want to help our industry to increase value and innovate more quickly and effectively in the era of artificial intelligence and provide the best and most powerful computing and analysis platform.” Yang Xu concluded.

China Market: Rare Development Opportunities

In artificial intelligence, the core of Intel is the data computation ability and calculation method of artificial intelligence. "Intel's focus is to make the best, strongest and most complete processing capabilities and analysis capabilities of artificial intelligence, and then carry out all-round cooperation. Finally, we will seek breakthroughs and development with our partners in the application field."

At present, Intel does research and development for China's chip demand, and Yang Xu believes that after the completion of the cooperation, the product is no longer Intel's product, but the partner's product, but the product uses Intel's computing power. "More is China’s intellectual property rights have become the most perfect combination of China’s own intellectual property rights and high technology in the United States. On one of the world’s most powerful chips, it has met many of the needs of the Chinese market without sacrificing performance.”

With the development of technologies such as China's Internet of Things, artificial intelligence, and big data, more and more industries need to be intelligent, and chips are one of the ways to achieve intelligence. China's demand for chips is not necessarily the strongest in terms of performance, but its features change quickly, the design cycle is very short, and the cost is low. This is also China's most powerful place, and it is constantly being strengthened.

This is a rare development opportunity for many companies. “We need to understand Chinese consumers, and we need to understand where transnational companies need to look for complementary development in China at this stage. This is called a deep-water partnership. In the new development period, multinational companies, including Intel, In particular, companies in some areas of computing must find new cooperation points and new complementary ways of cooperation."

By building diversified ecosystems, expanding in-depth cooperation, and promoting application breakthroughs, Intel is working with a large and diverse ecosystem to actively explore the deployment of artificial intelligence in the fields of medical care, transportation, Internet, scientific research, manufacturing, and communications. In order to use the artificial intelligence to achieve business transformation, promote the development of China's real economy.

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