18256639. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM simplified abstract (SONY GROUP CORPORATION)
Contents
- 1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING 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 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
Organization Name
Inventor(s)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18256639 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
Simplified Explanation
The patent application describes an information processing apparatus that uses a machine learning model to generate new sequence data based on input sequence data. The apparatus also includes means for selecting target sequence data for changing the sequence data and context sequence data for not changing the sequence data.
- Control means for generating new target sequence data by interpolating at least two sequence data already generated by the machine learning model or generating different new sequence data for the sequence data already generated.
- Data input means for inputting sequence data.
- Machine learning model for generating new sequence data based on the input sequence data.
- Sequence data selecting means for selecting target sequence data and context sequence data when new sequence data is generated.
Potential Applications
This technology could be applied in various fields such as natural language processing, speech recognition, and data analysis.
Problems Solved
This technology helps in generating new sequence data efficiently and accurately, which can be useful in tasks requiring pattern recognition and prediction.
Benefits
The benefits of this technology include improved data processing capabilities, enhanced accuracy in generating new sequence data, and increased efficiency in information processing tasks.
Potential Commercial Applications
Potential commercial applications of this technology could include automated content generation, predictive text input systems, and personalized recommendation engines.
Possible Prior Art
One possible prior art could be existing machine learning models used for sequence data generation in various applications.
Unanswered Questions
How does this technology compare to existing methods of sequence data generation using machine learning models?
This article does not provide a direct comparison between this technology and existing methods of sequence data generation.
What are the limitations of this technology in terms of scalability and complexity of sequence data?
This article does not address the potential limitations of this technology in handling large-scale or complex sequence data.
Original Abstract Submitted
An information processing apparatus () includes control means (), data input means () for inputting sequence data, a machine learning model () that generates new sequence data based on the sequence data input by the data input means (), and sequence data selecting means () for selecting, when new sequence data is generated by the machine learning model (), target sequence data for changing the sequence data and/or context sequence data for not changing the sequence data. The control means () (i) generates new target sequence data that interpolates at least two sequence data already generated by the machine learning model or (ii) generates different new sequence data for the sequence data already generated by the machine learning model.
