Energy efficient circuits and architectural design for machine learning on edge

Energy efficient circuits and architectural design for machine learning on edge

The number of Internet of Things (IoT) devices around the world is forecasted to be 50 billion by the year 2025. IoT devices are commonly referred to as edge devices, as they are able to connect to the Internet and operate at the edge of the network. IoT devices are also equipped with sensors to col...

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Bibliographic Details
Main Author: Chong, Yi Sheng
Other Authors: Goh Wang Ling
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Electrical and electronic engineering::Integrated circuits
Engineering::Computer science and engineering::Hardware::Register-transfer-level implementation
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Electrical and electronic engineering::Microelectronics
Online Access:https://hdl.handle.net/10356/168616

Internet

https://hdl.handle.net/10356/168616

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