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.

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

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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

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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

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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

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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

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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

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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,

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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

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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

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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

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EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems

Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sandor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini
28 Aug 2023

ETH Zurich, University of Bologna, Aarhus University Hospital, Lausanne University Hospital, University of Modena and Reggio Emilia, Danish Epilepsy Centre

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Drone navigation and license place detection for vehicle location in indoor spaces

Moa Arvidsson, Sithichot Sawirot, Cristofer Englund, Fernando Alonso-Fernandez, Martin Torstensson, Boris Duran
19 Jul 2023

Halmstad University, Sweden

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Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems

Julian Moosmann, Hanna Mueller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
12 Jul 2023

ETH Zurich, University of Lugano, University of Bologna

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BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing

Sebastian Frey, Marco Guermandi, Simone Benatti, Victor Kartsch, Andrea Cossettini, Luca Benini
04 Jul 2023

ETH Zurich, University of Bologna, University of Modena and Reggio Emilia

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Exploring Automatic Gym Workouts Recognition Locally On Wearable Resource-Constrained Devices

Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno
13 Jan 2023

ETH Zurich

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