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2024-12-14 05:25:39
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Fourth, 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.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.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.


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.Third, the Shengsi Artificial Intelligence Framework Summit will be held on December 14th. The summit was hosted by Shengsi MindSpore Open Source Community and AITISA, and co-organized by Huawei and OpenI Qizhi Community. It included a keynote speech, four special forums, a closed round table, 70+ achievements display and two community meetings. It is reported that the on-site 15+ community partners will release the results of mainstream native large models.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.


[Robots are active in artificial intelligence! 】Last night, it was the fourth day of OpenAI's 12-day continuous shift. OpenAI was prepared to innovate productivity. OpenAI announced its "New Ways of ChatGPT Writing and Programming" Canvas in October. Now, users can complete writing and coding projects with ChatGPT, which is no longer limited to simple chat. Canvas can help users work efficiently with large models.

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