CEM: "DeepSense Deep Sensing Large Model" filing approved
CEM announced that its "DeepSense" large model for deep sensing has been filed for generative artificial intelligence services. This model can provide real-time technical support in instrument operation, maintenance, and calibration, and optimize measurement processes by combining sensor data with deep learning technology, enhancing data analysis capabilities. This filing marks a milestone achievement for the company in the field of "AI + measurement intelligence," helping industrial clients improve equipment efficiency and achieve digital management transformation
According to the Zhitong Finance APP, CEM (002980.SZ) announced that its "DeepSense Deep Sensing Large Model" has officially passed the filing for generative artificial intelligence services.
CEM's "DeepSense Deep Sensing Large Model" can provide real-time technical support in the operation, maintenance, and calibration of instruments and meters. At the same time, it combines sensor data with deep learning technology to optimize measurement processes and enhance data analysis capabilities, which can be widely applied in equipment operation and maintenance, fault diagnosis, and predictive maintenance.
The approval of CEM's "DeepSense Deep Sensing Large Model" filing signifies that the company has achieved a phased result in the "AI + Measurement Intelligent Agent" field, enabling it to provide industry-leading measurement domain large models for industry clients, and offering downstream customers "AI + Sensor" deep sensing solutions in the industrial field. This will help improve equipment efficiency, achieve closed-loop control of production processes, and facilitate the digital management transformation in industrial and professional fields. The transition from a single hardware supplier to a provider of intelligent industrial monitoring solutions will provide value to a broader range of customers and application scenarios. The launch of the company's "DeepSense Deep Sensing Large Model" for business operations is of great significance for expanding application scenarios, reducing business implementation costs, and continuously enhancing the company's competitiveness
