US 12,141,607 B2
Machine learning device
Daiki Yokoyama, Gotemba (JP); and Norimi Asahara, Numazu (JP)
Assigned to TOYOTA JIDOSHA KABUSHIKI KAISHA, Aichi-ken (JP)
Filed by TOYOTA JIDOSHA KABUSHIKI KAISHA, Aichi-ken (JP)
Filed on Jun. 16, 2021, as Appl. No. 17/348,768.
Claims priority of application No. 2020-105302 (JP), filed on Jun. 18, 2020; and application No. 2021-030421 (JP), filed on Feb. 26, 2021.
Prior Publication US 2021/0397477 A1, Dec. 23, 2021
Int. Cl. G06F 9/48 (2006.01); G06F 9/50 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01)
CPC G06F 9/4893 (2013.01) [G06F 9/5094 (2013.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01)] 7 Claims
OG exemplary drawing
 
1. A machine learning device provided in a vehicle configured to supply electric power to an outside of the vehicle, the machine learning device comprising:
a processor configured to perform processing relating to training a machine learning model in the vehicle, wherein
the processor is configured to
in response to acquiring no disaster information, consume a first electric power consumption amount in the processing relating to training, and
in response to acquiring the disaster information, lower an electric power consumption amount in the processing relating to training from the first electric power consumption amount to a second electric power consumption amount, and
the processor is configured to
acquire position information of the vehicle, and
in response to supply of electric power from the vehicle to the outside being anticipated based on the disaster information and the position information, lower the electric power consumption amount in the processing relating to training from the first electric power consumption amount to the second electric power consumption amount.