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Positive and continuousFourth, the driving force of artificial intelligence on industry and investment and financing has been very obvious. TSMC announced that its comprehensive revenue in November 2024 was NT$ 276.058 billion (US$ 8.504 billion). Driven by the continued strong demand for artificial intelligence chips, it increased by 34% year-on-year. In addition, the news shows that "Zhongke Wenge", a decision-making intelligent technology and application service provider, recently completed a strategic financing of over 100 million yuan, which was invested by Beijing Artificial Intelligence Industry Investment Fund. This round of funds will be mainly used for R&D investment in the field of decision intelligence to promote the development of various businesses. Founded in 2017, Zhongke Wenge is a transformation enterprise of scientific and technological achievements of China Academy of Sciences. Its founding team and core members are from Institute of Automation, Chinese Academy of Sciences, and have accumulated theoretical research, technology research and development and application practice of big data and artificial intelligence technology for more than ten years.The four major benefits are concentrated! Artificial intelligence, ups and downs, robot concept stocks are repeatedly active.

From December 18th to 19th, the Volcano Engine Winter Force Motive Force Conference will be held in Shanghai. The conference will focus on the frontier hotspots of the big model, directly attack the pain points of the big model era, focus on topics such as cost performance, innovation and security, and interpret Volcano Engine's full-stack AI capabilities. At the same time, Volcano Engine also invited big coffee makers from games, smart terminals, education, retail and other industries to explore the reconstruction of products and technologies in the AI era and talk about new opportunities for enterprise transformation.Positive and continuousFourth, the driving force of artificial intelligence on industry and investment and financing has been very obvious. TSMC announced that its comprehensive revenue in November 2024 was NT$ 276.058 billion (US$ 8.504 billion). Driven by the continued strong demand for artificial intelligence chips, it increased by 34% year-on-year. In addition, the news shows that "Zhongke Wenge", a decision-making intelligent technology and application service provider, recently completed a strategic financing of over 100 million yuan, which was invested by Beijing Artificial Intelligence Industry Investment Fund. This round of funds will be mainly used for R&D investment in the field of decision intelligence to promote the development of various businesses. Founded in 2017, Zhongke Wenge is a transformation enterprise of scientific and technological achievements of China Academy of Sciences. Its founding team and core members are from Institute of Automation, Chinese Academy of Sciences, and have accumulated theoretical research, technology research and development and application practice of big data and artificial intelligence technology for more than ten years.

In early trading today, the main line in the market is still around artificial intelligence and robots. Robot concept stocks are active again and again, and Great Wheel Intelligence, Ningbo Jingda, Kelier and Keli Sensing have reached new heights. As for artificial intelligence, there has been another wave of daily limit, and stocks such as Runxin Technology, Dahua Intelligent, vision china and Keda Dachuang have soared. Judging from the incident, the drive is also very obvious.The tide of artificial intelligenceFirst of all, OpenAI announced that Sora was officially launched to users on the third day of live broadcast, which can directly generate videos of up to 20 seconds and up to 1080P through text, and at the same time support text+pictures/videos to generate specific video content, making the generation effect of the model more controllable. On the fourth day of live broadcast, OpenAI announced its "new way of ChatGPT writing and programming" Canvas announced in October, which can help users work efficiently with large models.