TinyML for Small Microcontrollers

This paper describes the progress made in the context of a research and development project on machine learning techniques and algorithms applied to small microcontrollers. The beginning of the development of EmbedIA, a machine learning framework for microcontrollers, is presented. The experiments c...

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Detalles Bibliográficos
Autores principales: Estrebou, César Armando, Saavedra, Marcos David, Adra, Federico, Fleming, Martín
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
Machine Learning
Embedded Systems
Microcontrollers
IoT
Convolutional Neural Networks
TinyML
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140652
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-140652
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Machine Learning
Embedded Systems
Microcontrollers
IoT
Convolutional Neural Networks
TinyML
spellingShingle Ciencias Informáticas
Machine Learning
Embedded Systems
Microcontrollers
IoT
Convolutional Neural Networks
TinyML
Estrebou, César Armando
Saavedra, Marcos David
Adra, Federico
Fleming, Martín
TinyML for Small Microcontrollers
topic_facet Ciencias Informáticas
Machine Learning
Embedded Systems
Microcontrollers
IoT
Convolutional Neural Networks
TinyML
description This paper describes the progress made in the context of a research and development project on machine learning techniques and algorithms applied to small microcontrollers. The beginning of the development of EmbedIA, a machine learning framework for microcontrollers, is presented. The experiments carried out comparing the proposed framework with other similar frameworks such as Tensorflow Lite Micro, μTensor and EloquentTinyML show an important advantage with respect to memory and inference time required by small microcontrollers.
format Objeto de conferencia
Objeto de conferencia
author Estrebou, César Armando
Saavedra, Marcos David
Adra, Federico
Fleming, Martín
author_facet Estrebou, César Armando
Saavedra, Marcos David
Adra, Federico
Fleming, Martín
author_sort Estrebou, César Armando
title TinyML for Small Microcontrollers
title_short TinyML for Small Microcontrollers
title_full TinyML for Small Microcontrollers
title_fullStr TinyML for Small Microcontrollers
title_full_unstemmed TinyML for Small Microcontrollers
title_sort tinyml for small microcontrollers
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/140652
work_keys_str_mv AT estreboucesararmando tinymlforsmallmicrocontrollers
AT saavedramarcosdavid tinymlforsmallmicrocontrollers
AT adrafederico tinymlforsmallmicrocontrollers
AT flemingmartin tinymlforsmallmicrocontrollers
bdutipo_str Repositorios
_version_ 1764820459306614784

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