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FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network
  Inference at the Edge of the Internet of Things

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

8 November 2019
Xiaying Wang
Michele Magno
Lukas Cavigelli
Luca Benini
ArXivPDFHTML

Papers citing "FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things"

14 / 14 papers shown
Title
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object
  Detection Network for Low Power Microcontrollers
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers
Julian Moosmann
Marco Giordano
Christian Vogt
Michele Magno
MQ
ObjD
13
20
0
22 May 2023
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold
  Processors
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors
Zichao Shen
Neil Howard
J. Núñez-Yáñez
18
2
0
19 Apr 2023
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
24
118
0
29 May 2022
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
Alessio Burrello
Alberto Dequino
Daniele Jahier Pagliari
Francesco Conti
Marcello Zanghieri
Enrico Macii
Luca Benini
M. Poncino
AI4TS
24
7
0
24 Mar 2022
SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic
  Applications
SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications
Xiaying Wang
Fabian Geiger
Vlad Niculescu
Michele Magno
Luca Benini
11
8
0
23 Jul 2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
MQ
20
116
0
27 May 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
55
34
0
25 Mar 2021
Hypervector Design for Efficient Hyperdimensional Computing on Edge
  Devices
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
T. Basaklar
Y. Tuncel
S. Y. Narayana
S. Gumussoy
Ümit Y. Ogras
11
25
0
08 Mar 2021
Sound Event Detection with Binary Neural Networks on Tightly
  Power-Constrained IoT Devices
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices
G. Cerutti
Renzo Andri
Lukas Cavigelli
Michele Magno
Elisabetta Farella
Luca Benini
MQ
21
37
0
12 Jan 2021
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently
  Running 4bit-Compact Multilayer Perceptrons
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons
Simon Wiedemann
Suhas Shivapakash
P. Wiedemann
Daniel Becking
Wojciech Samek
F. Gerfers
Thomas Wiegand
MQ
21
7
0
17 Dec 2020
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded
  Motor-Imagery Brain-Machine Interfaces
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
T. Ingolfsson
Michael Hersche
Xiaying Wang
Nobuaki Kobayashi
Lukas Cavigelli
Luca Benini
24
190
0
31 May 2020
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet
  Implementation for Edge Motor-Imagery Brain--Machine Interfaces
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces
Tibor Schneider
Xiaying Wang
Michael Hersche
Lukas Cavigelli
Luca Benini
11
24
0
24 Apr 2020
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for
  Low-Power Edge Computing
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing
Xiaying Wang
Michael Hersche
Batuhan Tömekçe
Burak Kaya
Michele Magno
Luca Benini
9
76
0
31 Mar 2020
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi
Antonio Loquercio
Francesco Conti
Eric Flamand
Davide Scaramuzza
Luca Benini
171
158
0
04 May 2018
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