The Future Development Trend Of Artificial Intelligence Technology

Artificial intelligence is moving from a technical concept to a thousand lines of industry, realizing the actual implementation of multiple scenes.  In this process, edge architecture design, which puts computing power closer to the data source or service delivery, is also attracting attention in the commercial implementation of various AI application solutions with more agile processing power, lower latency and better security.  Among them, intelligent video analysis is favored by users with strong market demand and broad application scenarios, and has a strong growth trend. It is expected that by 2022, the market size will exceed 180 billion Yuan, with a compound growth rate of 34%.  Video data is expected to account for 82% of IP traffic by 2021.  Intelligent video analysis solutions based on edge AI have been widely used in more than 10 fields such as smart city, smart community, smart transportation, smart manufacturing, and smart retail. 

To build the edge AI video analysis capability with excellent performance and wide application scenarios, we cannot do without the effective aggregation of diversified algorithms and high-performance computing power.  This not only requires a powerful hardware platform to carry the intensive computational load required by computer vision and reasoning, but also to build the edge AI video analysis capability with excellent performance and facing a wide range of application scenarios, which is inseparable from the effective aggregation of diverse algorithms and high-performance computing power.  This requires not only powerful hardware platforms to carry the intensive computational load required for computer vision and inference, but also appropriate development tools and software frameworks to accomplish AI acceleration, and further activation of the ecology to provide solutions for more scenarios.