US2022194394A1PendingUtilityA1

Machine learning device and machine learning system

Assignee: TOYOTA MOTOR CO LTDPriority: Aug 20, 2020Filed: Mar 9, 2022Published: Jun 23, 2022
Est. expiryAug 20, 2040(~14.1 yrs left)· nominal 20-yr term from priority
B60W 2050/0075G06N 3/084G05B 13/042B60W 50/04G06N 3/063B60W 50/06B60W 40/12B60W 2050/0002B60W 2556/45B60W 50/0097
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Claims

Abstract

The machine learning device includes a predicting part configured to use a machine learning model to predict predetermined information, an updating part configured to update the machine learning model, and a part information acquiring part configured to detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement. The updating part is configured to receive a new machine learning model trained using training data sets corresponding to the vehicle part after replacement from a server and apply the new machine learning model to the vehicle, if a vehicle part relating to input data of the machine learning model is replaced with a vehicle part of a different configuration.

Claims

exact text as granted — not AI-modified
1 . A machine learning device provided in an apparatus, comprising a processor configured to:
 predict predetermined information with a machine learning model;   update the machine learning model;   detect an electronic signal indicative of a replacement of a first apparatus part;   acquire identification information of a second apparatus part which is installed instead of the first apparatus part after the replacement;   transmit the identification information of the second apparatus part to a server to identify a new machine learning model trained using training data sets corresponding to the second apparatus part after the replacement; and   apply the new machine learning model to the apparatus, in response to the first apparatus part relating to input data of the machine learning model having a different configuration than the second apparatus part.   
     
     
         2 . The machine learning device according to  claim 1 , wherein the processor is configured to transmit the identification information of the second apparatus part after replacement and identification information of the apparatus to the server, and the new machine learning model is a machine learning model corresponding to the identification information of the apparatus. 
     
     
         3 . The machine learning device according to  claim 1 , wherein the machine learning model is a neural network model.

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