International business machines corporation (20240135102). WIREFRAME GENERATION simplified abstract
Contents
- 1 WIREFRAME GENERATION
WIREFRAME GENERATION
Organization Name
international business machines corporation
Inventor(s)
WIREFRAME GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135102 titled 'WIREFRAME GENERATION
Simplified Explanation
The abstract describes a method for generating a wireframe based on text information related to requirements. The method involves using two artificial intelligence models, one for named entity recognition and the other for wireframe generation.
- Named entity recognition performed on text information related to wireframe requirements
- Extracted entities and relations inputted to a second AI model for wireframe generation
- Second AI model trained to minimize differences between resultant relations and extracted relations from the text information
Potential Applications
This technology could be applied in various industries such as software development, web design, and product prototyping.
Problems Solved
This technology streamlines the process of wireframe generation by automating the extraction of entities and relations from text information, reducing manual effort and potential errors.
Benefits
The benefits of this technology include increased efficiency, accuracy, and consistency in wireframe creation, leading to faster development cycles and improved collaboration among team members.
Potential Commercial Applications
Potential commercial applications of this technology include software tools for wireframe design, project management platforms, and AI-powered prototyping services.
Possible Prior Art
One possible prior art could be existing AI models for named entity recognition and wireframe generation, although the specific combination of these technologies may be novel.
Unanswered Questions
How does the accuracy of the wireframes generated by the second AI model compare to manually created wireframes?
The abstract does not provide information on the accuracy of the wireframes generated by the second AI model compared to those created manually.
The abstract does not specify the characteristics or sources of the text information that would be most effective for this method.
Original Abstract Submitted
a method of this disclosure may include performing a named entity recognition on text information related to requirements for a wireframe by a first artificial intelligence (ai) model, so as to extract entities and relations of the entities from the text information. the method may further comprise inputting the extracted entities and relations to a second ai model to generate the wireframe, wherein the second ai model is trained so that a difference between resultant relations of the entities of the generated wireframe and the extracted relations of the entities from the first ai model is decreased.
