Canon kabushiki kaisha (20240202541). INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM STORING PROGRAM simplified abstract
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM STORING PROGRAM
Organization Name
Inventor(s)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM STORING PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202541 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM STORING PROGRAM
The abstract of the patent application describes an information processing apparatus that divides parameter data related to a neural network model into blocks, generates embedded information based on connection information for each block, and sets output using the generated embedded information.
- The information processing apparatus includes one or more processors and memories storing computer-readable instructions.
- The instructions cause the apparatus to divide parameter data of a neural network model into blocks.
- Embedded information is generated based on connection information for each block.
- Output settings are performed using the embedded information in the output of the network model.
Potential Applications: - This technology can be applied in various fields such as artificial intelligence, machine learning, and data processing. - It can be used in developing advanced neural network models for image recognition, natural language processing, and other complex tasks.
Problems Solved: - Efficiently handling parameter data related to neural network models. - Enhancing the performance and accuracy of neural network outputs.
Benefits: - Improved processing efficiency and accuracy in neural network models. - Enhanced capabilities in handling complex data structures and connections.
Commercial Applications: Title: Advanced Neural Network Processing Technology for Enhanced Data Analysis This technology can be utilized in industries such as healthcare, finance, and autonomous vehicles for advanced data analysis and decision-making processes.
Questions about the technology: 1. How does this technology improve the performance of neural network models? - This technology enhances the efficiency of processing parameter data and connection information in neural networks, leading to improved accuracy and output quality. 2. What are the potential real-world applications of this advanced neural network processing technology? - This technology can be applied in various industries for tasks such as image recognition, natural language processing, and data analysis, enhancing decision-making processes and efficiency.
Original Abstract Submitted
an information processing apparatus includes one or more processors, and one or more memories that store a computer-readable instruction configured to be executed by the one or more processors, thereby the computer-readable instruction causing the information processing apparatus to divide parameter data related to a network model of a neural network into a plurality of blocks, and generate embedded information based on connection information for each block obtained by converting, for the respective blocks, data in each block including the parameter data and connection information for another block, and perform output setting for using data with the generated embedded information embedded in an output from the network model, as an output of the network model.
