TinyVers: A Tiny Versatile System-on-Chip With State-Retentive eMRAM for ML Inference at the Extreme Edge-Reference-Cited by-同舟云学术

TinyVers: A Tiny Versatile System-on-Chip With State-Retentive eMRAM for ML Inference at the Extreme Edge

Published:2023-08 Issue:8 Volume:58 Page:2360-2371
ISSN:0018-9200
Container-title:IEEE Journal of Solid-State Circuits
language:
Short-container-title:IEEE J. Solid-State Circuits

Author:

Jain Vikram¹^ORCID,Giraldo Sebastian²,Roose Jaro De²^ORCID,Mei Linyan¹^ORCID,Boons Bert²^ORCID,Verhelst Marian¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Microelectronics Circuits and Systems (MICAS), KU Leuven, Leuven, Belgium

2. Department of Electrical Engineering, MICAS, KU Leuven, Leuven, Belgium

Funder

Federale Overheidsdienst (FOD) Economie Belgium Energietransitiefonds (oproep II) under the ISAAC Project, in collaboration with Magics Technologies, Geel, Belgium

Flemish Government (Artificial Intelligence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/4/10192489/10022047.pdf?arnumber=10022047

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3. Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs

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