Invention Grant
- Patent Title: Self-learning in distributed architecture for enhancing artificial neural network
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Application No.: US15858505Application Date: 2017-12-29
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Publication No.: US11328210B2Publication Date: 2022-05-10
- Inventor: Antonino Mondello , Alberto Troia
- Applicant: Micron Technology, Inc.
- Applicant Address: US ID Boise
- Assignee: Micron Technology, Inc.
- Current Assignee: Micron Technology, Inc.
- Current Assignee Address: US ID Boise
- Agency: Greenberg Traurig
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G05D1/00 ; G05D1/02 ; B60W30/00 ; G06K9/00

Abstract:
A vehicle having the first ANN model initially installed therein to generate outputs from inputs generated by one or more sensors of the vehicle. The vehicle selects an input based on an output generated from the input using the first ANN model. The vehicle has a module to incrementally train the first ANN model through unsupervised machine learning from sensor data that includes the input selected by the vehicle. Optionally, the sensor data used for the unsupervised learning may further include inputs selected by other vehicles in a population. Sensor inputs selected by vehicles are transmitted to a centralized computer server, which trains the first ANN model through supervised machine learning from sensor received inputs from the vehicles in the population and generates a second ANN model as replacement of the first ANN model previously incrementally improved via unsupervised machine learning in the population.
Public/Granted literature
- US20190205765A1 Self-Learning in Distributed Architecture for Enhancing Artificial Neural Network Public/Granted day:2019-07-04
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