- Patent Title: Neural network applications in resource constrained environments
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Application No.: US15946678Application Date: 2018-04-05
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Publication No.: US10204302B2Publication Date: 2019-02-12
- Inventor: Rocky Chau-Hsiung Lin , Thomas Yamasaki , Koichiro Kanda , Diego Rodriguez Risco , Alexander Joseph Ryan
- Applicant: Alpine Electronics of Silicon Valley, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Alpine Electronics of Silicon Valley, Inc.
- Current Assignee: Alpine Electronics of Silicon Valley, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Perkins Coie LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06N3/063

Abstract:
Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.
Public/Granted literature
- US20180232638A1 NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS Public/Granted day:2018-08-16
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