Produced by |Tiger Sniff Think Tank.
Header |Visual China.
Large models are driving a new wave of the entire AI industry. Nowadays, all walks of life are exploring the combination with large models. ”
The same is true for 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 began to use AI technology to manufacture some high-end equipment.
For example, for 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, and some copper wires with too large spacing will not be welded first after artificial intelligence judgment, but they will also be marked one by one, and manual intervention will be carried out later; For some relatively large but acceptable gaps, after the machine vision recognizes the special state, it will automatically adjust the welding parameters, including welding trajectory, power, etc., in short, try to make the equipment intelligently cope with various working conditions to complete the welding. ”
With the continuous development and application of AI technology, many fields such as industrial production have begun to embrace AI. More and more enterprises are looking to reduce costs and increase efficiency by using AI technology.
But there are also practical issues that have to be taken into account:How do you match the massive computing power you need? How to collect data from the already undigitized industrial sector? How to solve all kinds of non-standard and fragmented needs?
On March 6, 2024, experts from Tiger Sniff Think Tank, Innovation Qizhi, Shanghai Electric, Lingyunguang and other enterprises will focus on the practical application of **AI large models in industrial production.
Scan the QR code to register. 1. Participants:
Guo Jiangliang, Vice President of Innovation and Qizhi Technology.
Huang Mengke, algorithm researcher of Shanghai Electric Group ** Research Institute.
Huang Feng, Co-Chairman of the Intelligent Cloud Product Committee and General Manager of the Industrial Products Department.
Quan Yuming, executive vice president of Lingyunguang Institute of Knowledge and Rationality.
2. Overview of the meeting.
Topic: AI + Industrial Production: Cutting-edge Practices in Manufacturing.
Meeting time: 19:00-21:00, March 6, 2024
Meeting format: online closed-door Tencent meeting, roundtable discussion.
Conference scale: 100 people.
Tickets: Free of charge.
3. *Topics:
1.What are the current AI application cases in different industrial production fields?
2.What are the highlights of AI applications in industrial production? What will be the problem?
3.How should the large-scale computing power required for AI be solved in industrial production scenarios? What is everyone doing so far?
4.In the field of industrial manufacturing, how to use AI for data collection and application?
5.In the actual industrial production scenario, there are many non-standard needs, how to use AI technology to meet the needs of different segments?
4. Participants:
Digitalization and informatization personnel in the field of industrial manufacturing.
Representatives of relevant technology vendors.
Industry personnel and research institutions or investment institutions and other people who pay attention to the development of the industry.
This content is the author's independent view and does not represent the position of Tiger Sniff. Do not do without permission**, please contact hezuo@huxiu for authorizationcom
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