18586644. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)

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INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

Organization Name

CANON KABUSHIKI KAISHA

Inventor(s)

Sho Saito of Saitama (JP)

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18586644 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

The abstract describes an information processing method involving inference processing using a machine learning model with two processing layers. The method includes storing an intermediate output from the first processing layer, outputting a first intermediate output corresponding to a first input, and generating an inference result based on the first intermediate output and a second intermediate output from the first processing layer corresponding to a second input.

  • The method involves performing inference processing using a machine learning model with two processing layers.
  • Intermediate outputs are stored and used in generating inference results.
  • The method outputs intermediate outputs and inference results based on inputs to the processing layers.
  • The first intermediate output is stored as the intermediate output for future reference.
  • This method enhances the efficiency and accuracy of inference processing tasks.

Potential Applications: - This technology can be applied in various fields such as image recognition, natural language processing, and predictive analytics. - It can be used in autonomous vehicles for real-time decision-making based on sensor inputs. - Healthcare applications include medical image analysis and patient diagnosis support systems.

Problems Solved: - Improves the accuracy and speed of inference processing tasks. - Enables the handling of complex data sets efficiently. - Enhances the performance of machine learning models in real-world applications.

Benefits: - Increased efficiency in processing large amounts of data. - Improved accuracy in generating inference results. - Enhanced capabilities for complex decision-making tasks.

Commercial Applications: Title: Enhanced Inference Processing Technology for Advanced Data Analysis This technology can be utilized in industries such as finance, e-commerce, and cybersecurity for data analysis, fraud detection, and personalized recommendations. It can also be integrated into smart devices for intelligent automation and personalized user experiences.

Questions about Inference Processing Technology: 1. How does this technology improve the accuracy of inference processing tasks? 2. What are the potential real-world applications of this technology in various industries?


Original Abstract Submitted

There is provided with an information processing method, Inference processing using a machine learning model having a first processing layer and a second processing layer a storing an intermediate output from the first processing layer is performed. A first intermediate output corresponding to a first input upon the first input being input into the first processing layer is output. An inference result upon (i) the first intermediate output and (ii) a second intermediate output from the first processing layer corresponding to a second input previous to the first input being input into the second processing layer, is output. The first intermediate output as the intermediate output is stored.