AI knocks on the door of industrial production

AI knocks on the door of industrial production

Produced by | Huxiu Think Tank

Head image | Visual China

“Large models have promoted a new wave in the entire artificial intelligence industry. Nowadays, all walks of life are exploring the combination with large models. ”

The same is true in the field of industrial manufacturing.

AI has been applied in the field of industrial production. The laser welding equipment of the Shenzhen branch of a German company has begun to use AI technology to manufacture some high-end equipment.

For example, regarding the problem of laser welding of copper wires in motors, a person in charge of the company said, “We mainly use machine vision to judge. Some copper wires that are too widely spaced will not be judged by artificial intelligence. Welding, but will also be marked one by one, and manual intervention will be done later; for some larger but still acceptable range When there is a gap, after the machine vision recognizes the special state, it will automatically adjust the welding parameters, including welding trajectory, power, etc. In short, the equipment will be able to intelligently respond to various working conditions to complete the welding. ”

With the With the continuous development and application of AI technology, many fields such as industrial production have gradually begun to embrace AI. More and more companies hope to reduce costs and increase efficiency by using artificial intelligence technology.

But we also have to consider practical issues: How to match the required large-scale computing power? How to collect data from industrial fields that are not already highly digitized? How to solve various non-standard and fragmented needs?

1. Guests:

Guo Jiangliang, Vice President of Innovation Qizhi Technology

Huang Mengke, algorithm researcher at the Central Research Institute of Shanghai Electric Group

Huang Feng, Co-Chairman of Baidu Intelligent Cloud Product Committee and General Manager of Industrial Products Department

Quan Yuming, Executive Vice President of Lingyun Optical Knowledge and Rationality Research Institute

2. Conference Overview

  • Theme: AI + Industrial Production: Cutting-edge Practice in the Manufacturing Field

  • Conference Time: March 6, 2024 19:00-21:00

  • Meeting format: Online closed-door Tencent meeting, round table discussion

  • Meeting size: limit of 100 people

  • Tickets: free review system

3. Discussion topics:

1. What are the current cases of AI application in different industrial production fields?

2. What are the current highlights of AI applications in industrial production? What will be the problems encountered?

3. In industrial production scenarios, how should the large-scale computing power required by AI be solved? What is everyone doing now?

4. In the field of industrial manufacturing, how to use AI for data collection and application?

5. In actual industrial production scenarios, there are many non-standard demands. How to use AI technology to meet different segmented demands?

4. Audience members:

Digital/informatization personnel in the industrial manufacturing field

Representatives of relevant technology vendors

Industry media personnel As well as those who are concerned about industry development such as research institutions or investment institutions

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