Below is a non-exhaustive list of academic research that has been carried out on GAP8 and GAP9 concentrating mostly on papers that are looking at various neural network topics running on GAP processors. Some of the research uses our toolchain and some uses alternative academic toolchains. If you think your paper should be listed here please contact us.
sEMG-driven Hand Dynamics Estimation with Incremental Online Learning on a Parallel Ultra-Low-Power Microcontroller
Marcello Zanghieri, Pierangelo Maria Rapa, Mattia Orlandi, Elisa Donati, Simone Benatti, Luca Benini
June 2024
University of Bologna, ETH Zurich
BrainFuseNet: Enhancing Wearable Seizure Detection through EEG-PPG-accelerometer Sensor Fusion and Efficient Edge Deployment
Thorir Mar Ingolfsson, Xiaying Wang, Simone Benatti, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Sandor Beniczky, Luca Benini, Andrea Cossettini
30 Apr 2024
University of Bologna, ETH Zurich
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems
Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini
17 Apr 2024
University of Bologna, KU Leuven, USI-SUPSI, ETH Zurich
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
By Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini
12 Mar 2024
D-ITET, ETH Zurich, IBM Research-Zurich
It is okay to be uncommon”: Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support
By Yushu Wu, Xiao Quan, Mohammad Rasool Izadi, Chuan-Che Huang
5 Apr 2024
Bose Corporation USA, Northeastern University USA
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
By Victor J.B. Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini
3 Apr 2024
University of Bologna, ETH Zurich
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors
By Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
6 Mar 2024
USI-SUPSI, KU Leuven, University of Bologna
A Noisy Beat is Worth 16 Words: a Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers
By Paola Busia, Matteo Antonio Scrugli, Victor Jean-Baptiste Jung, Luca Benini, Paolo Meloni
16 Feb 2024
University of Cagliari, University of Bologna
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs
Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Philippe Ryvlin, Cristian Cioflan, Michele Magno, Luca Benini
06 Feb 2024
University of Bologna, ETH Zurich
Minimizing artifact-induced false-alarms for seizure detection in wearable EEG devices with gradient-boosted tree classifiers
Thorir Mar Ingolfsson, Simone Benatti, Xiaying Wang, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Sandor Beniczky, Luca Benini & Andrea Cossettini
05 Feb 2024
University of Bologna, ETH Zurich, University of Modena and Reggio Emilia, Lausanne University Hospital, Danish Epilepsy Centre, Aarhus University Hospital
Reducing False Alarms in Wearable Seizure Detection with EEGformer: A Compact Transformer Model for MCUs
By Paola Busia, Andrea Cossettini, Thorir M Ingolfsson, Simone Benatti, Alessio Burrello, Victor J B Jung, Moritz Scherer, Matteo A Scrugli, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Paolo Meloni, Luca Benini
23 Jan 2024
University of Cagliari, University of Bologna,
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini
05 Dec 2023
University of Bologna, ETH Zurich
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation
By Sergei Vostrikov, Thorir Mar Ingolfsson, Soley Hafthorsdottir, Christoph Leitner, and others
28 Nov 2023
ETH Zurich
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO
By Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, Michele Magno
2 Nov 2023
ETH Zurich, University of Bologna
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters
By Jie Chen, Igor Loi, Eric Flamand, Giuseppe Tagliavini, Luca Benini, Davide Rossi
4 Sep 2023
University of Bologna, ETH Zurich
