18165292. METHOD OF EXECUTING DESIGN FLOW WITH MACHINE LEARNING TECHNIQUES simplified abstract (Taiwan Semiconductor Manufacturing Company, Ltd.)

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METHOD OF EXECUTING DESIGN FLOW WITH MACHINE LEARNING TECHNIQUES

Organization Name

Taiwan Semiconductor Manufacturing Company, Ltd.

Inventor(s)

Ya Tung Han of Hsinchu (TW)

Huang-YU Chen of Hsinchu (TW)

METHOD OF EXECUTING DESIGN FLOW WITH MACHINE LEARNING TECHNIQUES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18165292 titled 'METHOD OF EXECUTING DESIGN FLOW WITH MACHINE LEARNING TECHNIQUES

The method described in the patent application involves comparing a user's design content with a set of reference design contents, determining similarity, and executing a design flow based on the similarity reaching a certain threshold.

  • The method constructs a set of reference design contents linked to reference design recipes.
  • It compares a user's design content with the reference design contents to determine similarity.
  • If the similarity meets a predetermined threshold, it executes a design flow specified by a reference design recipe.
  • This process aims to streamline the design process by leveraging existing design knowledge and recipes.
  • By automating the design flow based on content similarity, it can improve efficiency and accuracy in design processes.
      1. Potential Applications:

This technology can be applied in various industries such as electronics, manufacturing, and software development where design processes are crucial.

      1. Problems Solved:

This technology addresses the challenges of manual design processes, lack of standardized design procedures, and the need for efficient design automation.

      1. Benefits:

The benefits of this technology include improved design accuracy, increased efficiency, reduced design time, and enhanced productivity in various industries.

      1. Commercial Applications:

"Automated Design Flow Execution Based on Content Similarity" can be utilized in industries such as semiconductor manufacturing, PCB design, and software development to streamline design processes and improve overall efficiency.

      1. Prior Art:

Further research can be conducted in the field of automated design processes, content similarity analysis, and design flow execution to explore existing technologies and innovations in this area.

      1. Frequently Updated Research:

Stay updated on advancements in automated design processes, content analysis algorithms, and design flow automation to enhance the efficiency and accuracy of design processes.

        1. Questions about Automated Design Flow Execution Based on Content Similarity:

1. How does this technology improve design processes in various industries? 

  - This technology streamlines design processes by automating design flows based on content similarity, leading to increased efficiency and accuracy.

2. What are the potential implications of using automated design flow execution in semiconductor manufacturing? 

  - Automated design flow execution can significantly improve productivity and reduce design time in semiconductor manufacturing by leveraging existing design knowledge and recipes.


Original Abstract Submitted

A method includes constructing a set of reference design contents associated with a set of reference design recipes. The method also includes determining a content similarity between a user design content and a reference design content taken from the set of reference design contents. The method further includes executing a design flow specified by a reference design recipe associated with the reference design content, as a result of the content similarity reaching a predetermined threshold.

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