Application of AI chip in the field of unmanned driving Application of AI chip in the field of speech recognition application of AI chip in the field of smart home application of AI chip in the field of face recognition application summary: AI chip as the core of artificial intelligence technology, its application scenarios will be more and more extensive, in the future will become an indispensable part of People's Daily life.
Nvidia's AI chips have a wide range of applications in many fields. For example, it can be applied to autonomous driving, helping vehicles achieve multiple by handling large amounts of parallel computationComplex path planning and decision making. In addition, it can also be used in smart phones, the Internet of Things and other fields to provide more efficient and intelligent functions for these devices. Nvidia's AI chips have applications not only in the cloud, but also on the end side.
In the security industry, AI chips can intelligently improve today's security equipment, and can improve the real-time monitoring and alarm function of security equipment. In the autonomous vehicle industry, AI chips are gradually becoming a core component of the autonomous driving computing platform, which can bring great impetus to the development of autonomous driving technology.
Autonomous driving: Autonomous vehicles are equipped with multiple cameras for computer vision, object recognition, lane warning and driver monitoring, and other sensors to achieve sensor fusion. AI and path planning can identify and predict if a child will walk onto the road, allowing vehicles to anticipate and slow down so evasive action can be taken. On a simpler level, automated valet parking can save drivers the burden of finding a parking space.
It is currently the world's strongest computing power, training speed of the fastest AI chip: its computing power is twice the international top AI chip, quite 50 of the current latest and strongest>And security. Although AI technology is still in a stage of rapid development, it is believed that with the further advancement of the technology, the chip behind it will become more powerful and more adaptable to the needs of different scenarios.
2, the development trend of AI chips is driven by the progress of artificial intelligence technology and the demand for a wide range of applications. Efficiency is the main development direction of AI chips to meet the needs of large-scale data processing and accurate simulation operations. Low power consumption is a key competitive advantage for AI chips, especially in portable devices and low power trends.
3, at present, with the continuous development of artificial intelligence and chip technologyAt present, the industrial upgrading speed of downstream industries such as cloud computing, consumer electronics, unmanned driving, and smartphones is accelerating, and China's AI chip industry is in a period of rapid development.
4. Here are some possible opportunities: Domestic substitution is unstoppable. From the closure and upgrading of the United States' science and technology policy toward China, from the plight of ZTE to the supply of Huawei chips, semiconductors bear the responsibility of protecting the strategic security of domestic industries, and the trend of "domestic substitution" of supply chain localization is unstoppable. AI chips have become the focus of development. 5, but overall, AI chips as the "heart" of artificial intelligence, whether it is the number of enterprisesAt present, the level of technological development is in a weak position in the whole industrial chain of artificial intelligence in China, and the industry is still in its infancy, and it is urgent to seek breakthroughs.
The chips with the highest demand mainly include: general-purpose chips, semi-customized chips based on FPGA and fully customized ASIC chips. The application fields of these chips are very wide, first applied to artificial intelligence, such as intelligent home appliances, intelligent robots, virtual personal assistants, language recognition translation, visual content automatic recognition and so on.
Top 10 processors: Apple A1 Apple A1 Tianji 9200, Snapdragon 88 Samsung Exynos2200, Kirin 9905G, Tianji 1000Plus5G, Snapdragon 8655G, Samsung Orion Exynos10805G, Apple A12 Bionic. Apple Inc. 's A15 chip is one of the core processors in its flagship phone. The processor is equipped with six CPU cores, and the performance is powerful. In addition, the A15 also supports the connection of 5G networks, making the phone more intelligent.