Embedded Neuromorphic Using Intel’s Loihi Processor

Alberto Marchisio; Muhammad Shafique

doi:10.1007/978-3-031-39932-6

Embedded Neuromorphic Using Intel’s Loihi Processor

Alberto Marchisio, Muhammad Shafique

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Recently, spiking neural networks (SNNs) have demonstrated great success due to their high-performance and low-energy consumption, which makes them suitable for being implemented on embedded devices, such as neuromorphic chips. This chapter presents an overview of event-based SNNs on neuromorphic hardware and their applications. It provides outlooks on the neuromorphic computing platforms, with a special focus on the Intel Loihi research chip. Afterward, a case study on a “car vs. background” classifier implemented on Loihi is discussed in detail.

Original language	English (US)
Title of host publication	Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Subtitle of host publication	Software Optimizations and Hardware/Software Codesign
Publisher	Springer Nature
Pages	137-172
Number of pages	36
ISBN (Electronic)	9783031399329
ISBN (Print)	9783031399312
DOIs	https://doi.org/10.1007/978-3-031-39932-6
State	Published - Jan 1 2023

Keywords

Event-based vision
Loihi
Neuromorphic architecture
Spiking neural networks

ASJC Scopus subject areas

General Computer Science
General Engineering
General Social Sciences

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10.1007/978-3-031-39932-6

Cite this

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AB - Recently, spiking neural networks (SNNs) have demonstrated great success due to their high-performance and low-energy consumption, which makes them suitable for being implemented on embedded devices, such as neuromorphic chips. This chapter presents an overview of event-based SNNs on neuromorphic hardware and their applications. It provides outlooks on the neuromorphic computing platforms, with a special focus on the Intel Loihi research chip. Afterward, a case study on a “car vs. background” classifier implemented on Loihi is discussed in detail.

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ER -

Embedded Neuromorphic Using Intel’s Loihi Processor

Abstract

Keywords

ASJC Scopus subject areas

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