Neural network applications in resource constrained environments

US9965720B2 · kind B2 · utility

Assignee

• Alpine Electronics of Silicon Valley, Inc. · US

Inventors

• Rocky Chau-Hsiung Lin · Cupertino, US
• Thomas Yamasaki · Villa Park, US
• Koichiro Kanda · San Jose, US
• Diego Rodriguez Risco · Campbell, US
• Alexander Joseph Ryan · Mountain View, US

Key dates

• Filing date: Sep 8, 2017
• Grant date: May 8, 2018
• Expiry date: Sep 8, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/09
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.