Sony group corporation (20240161142). INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM simplified abstract
Contents
- 1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
Organization Name
Inventor(s)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161142 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
Simplified Explanation
The present technology relates to an information processing apparatus, an information processing method, and a program that are enabled to construct a system suitable for validation of effects of causal inference.
- This technology involves an information processing apparatus that can be used to validate the effects of causal inference.
- The method and program associated with this technology help in constructing a system that is suitable for such validation.
Potential Applications
This technology could be applied in various fields such as healthcare, finance, marketing, and social sciences where understanding causal relationships is crucial.
Problems Solved
This technology helps in accurately determining the effects of causal inference, which can lead to better decision-making and problem-solving in various industries.
Benefits
The benefits of this technology include improved accuracy in determining causal relationships, enhanced decision-making processes, and better overall outcomes in various applications.
Potential Commercial Applications
Potential commercial applications of this technology include software development for causal inference validation, consulting services for industries requiring causal relationship analysis, and integration into existing data analysis tools for enhanced capabilities.
Possible Prior Art
One possible prior art in this field could be the use of statistical methods for causal inference validation in research and data analysis.
Unanswered Questions
How does this technology compare to existing methods for causal inference validation?
This article does not provide a direct comparison with existing methods for causal inference validation, leaving the reader to wonder about the specific advantages of this technology.
What are the specific industries or use cases where this technology has been successfully implemented?
The article does not mention any specific industries or use cases where this technology has been successfully applied, leaving the reader curious about its real-world applications.
Original Abstract Submitted
the present technology relates to an information processing apparatus, an information processing method, and a program that are enabled to construct a system suitable for validation of effects of causal inference.
