18207459. INFORMATION PROCESSING APPARATUS, DETERMINATION METHOD, AND STORAGE MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 INFORMATION PROCESSING APPARATUS, DETERMINATION METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, DETERMINATION METHOD, AND STORAGE MEDIUM - 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, DETERMINATION METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
INFORMATION PROCESSING APPARATUS, DETERMINATION METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18207459 titled 'INFORMATION PROCESSING APPARATUS, DETERMINATION METHOD, AND STORAGE MEDIUM
Simplified Explanation
The abstract describes a patent application for an information processing apparatus that calculates the difficulty of inference tasks and determines which stage of an inference model to use based on this difficulty.
- The apparatus includes a first difficulty calculation unit that assesses the difficulty of inference tasks by inputting time series input data into a first-stage inference model.
- A first determination unit then decides whether to use a later-stage inference model based on the calculated difficulty.
Potential Applications
This technology could be applied in various fields such as healthcare for medical diagnosis, finance for risk assessment, and marketing for customer behavior analysis.
Problems Solved
This technology helps in optimizing inference accuracy while minimizing inference time, ensuring efficient and effective decision-making processes.
Benefits
The benefits of this technology include improved accuracy in inference tasks, reduced computational resources, and faster decision-making processes.
Potential Commercial Applications
Potential commercial applications of this technology include predictive maintenance in manufacturing, fraud detection in finance, and personalized recommendations in e-commerce.
Possible Prior Art
One possible prior art could be the use of machine learning algorithms to optimize inference tasks in various industries.
What is the impact of this technology on computational efficiency?
This technology significantly improves computational efficiency by determining the appropriate stage of an inference model to use based on the difficulty of the task, thereby reducing unnecessary computational burden.
How does this technology contribute to decision-making processes in real-time applications?
This technology enhances decision-making processes in real-time applications by providing accurate and timely insights through optimized inference models, leading to more informed and efficient decisions.
Original Abstract Submitted
In order to ensure necessary inference accuracy while minimizing inference time, an information processing apparatus () includes: a first difficulty calculation unit () that calculates difficulty in inference carried out by inputting input data, constituting a time series, to a first-stage inference model among multiple-stage inference models which are configured such that use of a later-stage inference model achieves higher inference accuracy; and a first determination unit () that determines, on the basis of the difficulty, whether a second- or later-stage inference model will be used.
