AI Manufacturing Design Industry Cluster

19 AI Manufacturing Design Industry Cluster

19.1 Current Situation of Taiwan’s Manufacturing and Design Industry

Taiwan has a strong manufacturing industry, such as the semiconductor industry. Recently, the government has also proposed a crystal creation plan, hoping to use generative AI to

In addition, there are many manufacturing industries (such as civil engineering, machinery, construction, biotechnology, etc.) that require engineering design. For engineering design, in the past, there were traditional CAD, CAM, CAE and other software products for engineers to use, but generative artificial intelligence can introduce a large number of automatically generated concepts and engineering models, allowing designers to design optimized designs in the least amount of time. The product. As Taiwan’s most resource-rich industry, it is essential to provide assistance in establishing AI smart industry clusters.

19.2 A Generative Design Principle

Generative AI, as an AI language model, can provide explanations for engineering design work in a variety of ways. Here are some examples:

• Idea generation: Generative AI can help generate new ideas for engineering design. By providing specific design parameters or constraints, generative AI can generate potential design concepts for engineers to consider. For example, an engineer could ask generative AI to suggest a design for a lightweight, high-strength bicycle frame.

• Simulation and analysis: Generative AI can help engineers run simulations and analyze design results. For example, engineers could ask generative AI to simulate the behavior of a bridge under different load conditions or analyze the thermal performance of a new electronic device.

• Optimization: Generative AI can help optimize engineering designs by suggesting changes to improve performance or reduce costs. For example, engineers could ask generative AI to recommend changes to mechanical systems to reduce vibration or optimize the shape of an aircraft wing to improve fuel efficiency.

• Knowledge sharing: Generative AI can also be used as a tool for knowledge sharing in engineering design work. Engineers can ask generative AI to provide information about specific design principles, materials or manufacturing processes. Generative AI can also aid research by providing relevant scientific papers or patents on a specific topic.

Overall, generative AI can serve as a valuable tool for engineering design work, helping with idea generation, simulation and analysis, optimization, and knowledge sharing.

19.3 Examples of Generative Design of Generative Circuits

The following are examples of the application of Problem Solver (including Chat GPT) in integrated circuit design:

Suppose we want to develop a design tool for integrated circuits with generative artificial intelligence. Our targets are integrated circuit designers, and of course the designers’ bosses, as well as the end users who ultimately use these designs. Take MediaTek as an example. Designers of mobile phone chips are concerned with how to find the right components among a large number of circuit components to optimize fast operation and computing. The bosses are concerned about whether there are any major problems (such as illusions) in the tool used by engineers, and the reaction of the mobile phone manufacturers who place orders. The mobile phone manufacturers who place orders are concerned about whether users who ultimately buy mobile phones can choose them among many brands of mobile phones. Brand made.

When developing an integrated circuit design tool, the needs of all parties need to be fully considered and priorities adjusted according to the concerns of different stakeholders. The following is a possible prioritized list to meet the needs of different stakeholders:

***IC Designer:

Select the right circuit components: Provide designers with the ability to quickly find the right circuit components based on their needs to optimize performance and computing speed.

Custom design tools: Provides custom design options so designers can tailor them to specific project needs.

Illusion problem: Ensure that the generated circuit design is reasonable and avoid unrealistic design solutions.

***Company senior management and boss:

Quality Assurance: Ensure design tools meet high standards in terms of technology and quality to gain the confidence of bosses.

Cost-effectiveness: Ensure that the cost of developing and maintaining design tools is within an acceptable range to improve company efficiency.

Reputation and feedback: Ensure that engineers use tools without major problems, and collect feedback from mobile phone manufacturers who place orders to maintain the company's reputation.

***Mobile phone manufacturer (orderer):

Standards Compatibility: Ensures that the generated integrated circuit design can be seamlessly integrated and applied in various mobile phone designs.

Credibility and stability: Provide stable and reliable circuit design to ensure the performance and quality of mobile phones.

***Mobile users (end users):

Power consumption efficiency: Ensure that the integrated circuit designed can save energy and improve the battery life of the mobile phone.

Performance and functionality: Provide integrated circuit designs that enable high-performance and multi-functional mobile phones to meet user needs.

Quality and Reliability: Ensure the quality and reliability of the generated integrated circuit design to ensure long-term use of the phone.

In summary, the adjustment of the priority list depends on the concerns and needs of different stakeholders. Throughout the development process, the needs of all parties need to be balanced to ensure that the resulting integrated circuit design tool comprehensively meets the expectations of all parties.