4.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH46 papers
- University of BolognaIT11 papers
- Haute Ecole Arc IngénierieCH4 papers
- HES-SO ArcCH4 papers
- IBM Research - ZurichCH4 papers
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH3 papers
- National Institute for Materials ScienceJP3 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Fondazione Bruno KesslerIT2 papers
- Purdue University West LafayetteUS2 papers
- Rice UniversityUS2 papers
- University of Alabama in HuntsvilleUS2 papers
4 papers · 1 filter
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini +3
In the last few years, research and development on Deep Learning models and techniques for ultra-low-power devices in a word, TinyML has mainly focused on a train-then-deploy assum…
Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs
Miguel de Prado, Andrew Mundy, Rabia Saeed +3
The spread of deep learning on embedded devices has prompted the development of numerous methods to optimise the deployment of deep neural networks (DNN). Works have mainly focused…
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
Xiaying Wang, Michele Magno, Lukas Cavigelli +1
The growing number of low-power smart devices in the Internet of Things is coupled with the concept of "Edge Computing", that is moving some of the intelligence, especially machine…
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools
Miguel de Prado, Jing Su, Rabia Saeed +9
Next generation of embedded Information and Communication Technology (ICT) systems are collaborative systems able to perform autonomous tasks. The remarkable expansion of the embed…