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Patent Searching and Data


Title:
MACHINE LEARNING-TRAINED MODEL UPDATE SYSTEM, EDGE DEVICE, MACHINE LEARNING-TRAINED MODEL UPDATE METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/171443
Kind Code:
A1
Abstract:
In the field of Internet of Things (IoT), the present invention provides a mechanism whereby a machine learning-trained model installed on an edge device not connected to the Internet is updated to a machine learning-trained model provided via the Internet. When an edge device (130), which is not directly connected to the Internet, is in a state where the edge device (130) is connected to the Internet via a communication device (120) connected to the Internet, a machine learning-trained model update system (100) updates a machine learning-trained model installed on the edge device (130) to a machine learning-trained model provided via the Internet.

Inventors:
KOJO ATSUSHI (JP)
TANIGUCHI MASAHITO (JP)
Application Number:
PCT/JP2018/008419
Publication Date:
September 12, 2019
Filing Date:
March 05, 2018
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Assignee:
UHURU CORP (JP)
International Classes:
G06N99/00
Domestic Patent References:
WO2016118815A12016-07-28
WO2016152053A12016-09-29
Foreign References:
JP2010165057A2010-07-29
Attorney, Agent or Firm:
ASAHI PATENT FIRM (JP)
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