18681203. TRAINED MODEL MANAGEMENT DEVICE AND TRAINED MODEL MANAGEMENT METHOD simplified abstract (KYOCERA CORPORATION)

TRAINED MODEL MANAGEMENT DEVICE AND TRAINED MODEL MANAGEMENT METHOD

Organization Name

KYOCERA CORPORATION

Inventor(s)

Masayoshi Nakamura of Yokohama-shi, Kanagawa (JP)

Masafumi Tsutsumi of Yokohama-shi, Kanagawa (JP)

Tomoyuki Izumi of Shibuya-ku, Tokyo (JP)

Kohei Furukawa of Yokohama-shi, Kanagawa (JP)

Satoshi Muraoka of Zushi-shi, Kanagawa (JP)

Tatsumasa Kabasawa of Kyoto-shi, Kyoto (JP)

TRAINED MODEL MANAGEMENT DEVICE AND TRAINED MODEL MANAGEMENT METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18681203 titled 'TRAINED MODEL MANAGEMENT DEVICE AND TRAINED MODEL MANAGEMENT METHOD

Simplified Explanation: The patent application describes a device and method for managing trained models that update master models without reducing recognition accuracy in the user's environment.

Key Features and Innovation:

• Device includes storage for training data and trained models.
• Update determination unit decides whether to update the master model based on new learning data.
• Second model generated based on second training data and first model.

Potential Applications: This technology could be used in various fields such as image recognition, speech recognition, and natural language processing.

Problems Solved: This technology addresses the challenge of updating trained models without compromising recognition accuracy in real-world user environments.

Benefits:

• Improved model management efficiency.
• Enhanced recognition accuracy.
• Seamless integration into existing systems.

Commercial Applications: The technology could be applied in industries such as healthcare for medical image analysis, retail for customer behavior analysis, and security for facial recognition systems.

Prior Art: Readers can explore prior research on trained model management, machine learning algorithms, and model updating techniques.

Frequently Updated Research: Stay informed about advancements in machine learning, deep learning, and artificial intelligence that could impact trained model management.

Questions about Trained Model Management: 1. How does this technology improve recognition accuracy in real-world environments? 2. What are the potential limitations of updating trained models without degrading accuracy?

Original Abstract Submitted

A trained model management device and a trained model management method that update master models without degrading recognition accuracy in the use environment of a user. The trained model management device () includes: a first storage (A) storing first training data and a first model that is a trained model that has been trained to recognize, based on the first training data, a target object included in input information; a second storage (B) storing second training data and a second model that is a trained model generated based on the second training data and the first model; and an update determination unit () that makes a determination as to whether or not to update the first model based on the second learning data when the second model is generated.