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Widening Access to Applied Machine Learning with TinyML

Widening Access to Applied Machine Learning with TinyML

7 June 2021
Vijay Janapa Reddi
Brian Plancher
Susan Kennedy
L. Moroney
Pete Warden
Anant Agarwal
Colby R. Banbury
M. Banzi
Matthew Bennett
Benjamin Brown
Sharad Chitlangia
Radhika Ghosal
S. Grafman
Rupert Jaeger
Srivatsan Krishnan
Maximilian Lam
Daniel Leiker
Cara Mann
Mark Mazumder
Dominic Pajak
Dhilan Ramaprasad
J. E. Smith
Matthew P. Stewart
D. Tingley
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Papers citing "Widening Access to Applied Machine Learning with TinyML"

7 / 7 papers shown
Title
Device management and network connectivity as missing elements in TinyML
  landscape
Device management and network connectivity as missing elements in TinyML landscape
T. Szydlo
M. Nagy
19
2
0
23 Apr 2023
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Shawn Hymel
Colby R. Banbury
Daniel Situnayake
A. Elium
Carl Ward
...
Louis Moreau
Dmitry Maslov
A. Beavis
Jan Jongboom
Vijay Janapa Reddi
VLM
LRM
40
95
0
02 Nov 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A
  Systematic Literature Review
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review
Shashank Bangalore Lakshman
Nasir U. Eisty
11
12
0
19 Apr 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Visal Rajapakse
Ishan Karunanayake
Nadeem Ahmed
SyDa
31
53
0
02 Apr 2022
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
110
466
0
17 Oct 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
106
228
0
10 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
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