In the context of the Internet of Everything, there will be tens of billions of smart devices connected to the Internet in the next few years. According to Cisco reports, by 2021, IoT devices will dominate the connection in the world's 27.1 billion connected devices. This trend has undoubtedly promoted the penetration of the Internet of Things into all walks of life, empowered the whole society, and opened a smart society where all things have the ability to perceive, and people can enjoy a more intelligent life.
In this era of big connectivity, and in the new era of perceptual awareness, there is a huge demand for chips with artificial intelligence elements, relying on AI chips to build data centers, providing a basic computing environment for the realization of Internet of Everything and artificial intelligence, including chips such as NVIDIA. With the rapid rise of manufacturers, innovative companies around the field of artificial intelligence chips have also received capital support, making chip manufacturers the biggest beneficiaries of this era.
At the same time, as an industrial commanding point, artificial intelligence chips can be used in a wide range of applications, such as smart phones, medical health, finance, retail, etc., and there is huge room for development. With the advent of the artificial intelligence era, artificial intelligence chips are welcoming the opportunity to show their talents.
In recent years, some artificial intelligence technologies have become core competencies, such as helping Amazon's Echo smart speakers understand verbal commands; helping Google's parent company Alphabet's Nest security camera to distinguish between acquaintances and strangers in order to send alerts. Artificial intelligence technology also enables Facebook to match social posts to ads.
Internet giants are leveraging deep learning, which allows software to find models in digital files such as images, recordings and documents. It takes time to train the data to discover meaningful models. The Internet giant wants to improve its algorithms and doesn't want to wait a few weeks to determine if training is effective. Chip makers are trying to help them do this faster.
Recently, the Chinese Academy of Sciences organized a press conference to release three new generation of artificial intelligence chips that can be used for deep learning. The Cambrian 1H8 for low-power scene vision applications has a wider versatility and higher performance. Ji 1H16, and the Cambrian 1M for smart driving.
It is understood that these three newly released chips adopt the international first personal intelligence intelligent instruction set, which has outstanding versatility and efficiency ratio in tasks such as computer vision, speech recognition and natural language processing. This kind of deep learning technology similar to the Go program "Alpha-go" will play an important role in the field of intelligent driving.
In fact, the recent big news of artificial intelligence chips is not limited to this one. Recently, Cambrian Technology Co., Ltd. said it plans to occupy 30% of the domestic artificial intelligence chip market share in the next two years. It is estimated that the equipment including the Cambrian technology artificial intelligence chip including Huawei flagship machine will reach 1 billion.
At the Embedded Artificial Intelligence Technology Forum held on November 3, Chen Yunxi, founder and leading scientist of Cambrian Technology, said that Huawei's next flagship P11 will also be equipped with the updated Kirin970 processor. Huawei's move will stimulate the growth of the artificial intelligence market, thereby strengthening the business level of Cambrian technology.
Chen Yunwei emphasized that the focus of improving the application of artificial intelligence chips is to establish an open source ecosystem. Only by establishing an open artificial intelligence ecosystem can artificial intelligence applications be integrated with robotics, finance and manufacturing to achieve faster development.
With the entry of Internet companies and the acceleration of the layout of chip manufacturers, AI chips are expected to define the Internet of Things and artificial intelligence industry chain and ecosystem. So far, the battle for AI chips is particularly fierce. With the participation of many players, it will also appear. The crowd is vying for the situation.
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