Research institute Jibang (22) held an intelligence seminar to invite key players such as STMicroelectronics, Xilinx and National Instruments to participate. Among them, Yu Yihong, the marketing project manager of STMicroelectronics Asia Pacific, said that in the future, the global will not be a competitive relationship in the AIOT, but should actively cooperate to develop the entire AI ecosystem.

Jibang pointed out that the arrival of the AIOT wave, massive data, analysis accuracy and hardware efficiency drive AI from the cloud to the terminal equipment, and simultaneously push the trend of edge computing combined with AI.

Zeng Bojun, an analyst at the Tupper Industrial Research Institute of Jibang, said that in recent years, the wave of smart manufacturing has arisen. For example, the non-digital native manufacturing industry has successively adopted tools derived from large frameworks such as IIOT, AIOT and Edge AI, and has entered a trend of diversification. And the wave of intelligence with the massive data as the core.

He said that the integration of virtual and real has become a new business opportunity in the manufacturing industry. The global market is pushing for relevant policies. It is estimated that the global smart manufacturing market will reach 370 billion US dollars in 2022, and the compound annual growth rate in 2019-2022 will reach 10.7%.

AI related components and solutions play a role in driving the accelerated development of the AIOT industry. Therefore, in today's seminar, Yu Yihong, the marketing project manager of STMicroelectronics Asia Pacific, was also invited to give a speech, except to introduce the company's microcontroller (MCU). Series type product technology and application, how to introduce edge computing technology, overcome the dilemma and security challenges of developing AIOT, and help customers accelerate application in smart manufacturing, automotive and other intelligent terminals.

Yu said that at present, global companies such as Google and Intel are developing AI chips. As an MCU factory, we believe that the future will not be a competitive relationship in the AIOT, but will actively cooperate to develop the entire AI ecosystem.

He revealed that the company's latest MCU products provide high-speed communication interface and computing capabilities, and can perform task processing in real time, mainly targeting data collection, sensors and other applications; in addition, optimistic about hybrid MCU is the next generation product trend, both AI and computing functions, It can be applied to gateways, industrial automation, and connectors.

In addition, Weng Yuxiang, Xilinx Industrial Medical Market Manager, explores how to create an IoT smart platform with eco-partners from the two aspects of operational technology (OT) and information technology (IT), and for smart manufacturing, urban, medical and In industries such as the power grid, share the company's use of OT, IT development hardware platform to development tools and other related deep learning solutions, and how to avoid the risk of changes in IIoT new standards and trends.