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The Ministry of Industry and Information Technology, the State-owned Assets Supervision and Administration Commission of the State Council, and the All-China Federation of Industry and Commerce jointly issued the 'Implementation Guide for Digital Transformation of Manufacturing Enterprises'. It emphasizes that promoting the digital transformation of manufacturing enterprises is a systemic project that should start from the actual development of enterprises, aim to solve pain points and difficulties faced by enterprises, be guided by enhancing overall factor productivity, and take scenario digitization as the entry point. It requires a comprehensive consideration of technological maturity, economic feasibility, and sustainability of business models to accurately identify priority areas and key directions for digital transformation.

Beijing Mianbi Intelligent Technology Co., Ltd. and Shanghai Zhizhi Engineering Technology Co., Ltd. recently announced a strategic cooperation aimed at jointly developing artificial intelligence edge models for the industrial sector. This collaboration will leverage Mianbi Intelligent's technological advantages in edge large models, image large models, and embodied intelligent applications in multiple scenarios, as well as Zhizhi Engineering's deep accumulation of experience in the manufacturing market, scenarios, processes, and engineering, to jointly promote the process of industrial intelligence.

Zhongkong Technology is set to introduce the first AI model specifically designed for the process industry, utilizing vast amounts of production operations, process, equipment, and quality data. This model is trained using proprietary AI algorithm architecture, aiming to establish a highly generalized and reliable large model that could achieve a revolutionary breakthrough in efficiency within the process industry.

iFLYTEK and Shenhao Technology have signed a cooperation agreement to jointly establish an Industrial AI Robot Research Institute, achieving deep integration of large models and industrial robots. They will be the first to implement engineering applications in the power industry and promote in-depth cooperation in industrial health in fields such as energy, electricity, and mining. Both parties will work closely together to drive innovation in intelligent industrial robots.