Open source deep learning platform dedicated to Embedded hardware and Europe

Informations projet

NEUROKIT2E

N° de convention de subvention: 101112268

DOI

10.3030/101112268

Date de signature de la CE 21 Mai 2023

Date de début 1 Juin 2023

Date de fin 31 Mai 2026

Financé au titre de

• Digital, Industry and Space

Coût total

€ 19 423 471,66

Contribution de l’UE

€ 6 203 293,72

Coordonné par

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (2)

NEUROKIT2E platform, release 1

First public release of the NEUROKIT2E platform

NEUROKIT2E platform, release 2

Second public release of the NEUROKIT2E platform

Documents, reports (1)

Initial Plan for Stakeholder Engagement, Dissemination and Exploitation of Results

Publications

Conference proceedings (21)

Reliable and Energy-efficient Diabetic Retinopathy Screening using Memristor-based Neural Networks

Auteurs: Diware, S., Chilakala, K., Joshi, R. V., Hamdioui, S., & Bishnoi, R.
Publié dans: IEEE Access, 2024
Éditeur: Journal : IEEE Access

An AI Architecture for Power MOS Rds-on-Driven Lifetime Estimation

Auteurs: C. Pino, F. Rundo, C. Spampinato and S. Battiato
Publié dans: 2023 Smart Systems Integration Conference and Exhibition (SSI), Brugge, Belgium, 2023​, 2023
Éditeur: 2023 Smart Systems Integration Conference and Exhibition (SSI), Brugge, Belgium, 2023​

Aidge: a new framework for DNN development, training and deployment on the Edge.

Auteurs: Fabian Chersi, Olivier Bichler. Cyril Moineau, Maxence Naud, Laurent Soutier, Vincent Templier, Thibault Allenet, Inna Kucher, Vincent Lorrain
Publié dans: .., Numéro .., 2023
Éditeur: ...

Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices

Auteurs: Gleb Radchenko, Victoria Fill
Publié dans: Proceedings of the 14th International Conference on Cloud Computing and Services Science CLOSER, 2024, ISBN 978-989-758-701-6
Éditeur: .
DOI: 10.5220/0012728500003711

C3CIM: Constant Column Current Memristor-based Computation-in-Memory Micro-architecture

Auteurs: Yashvardhan Biyani, Rajendra Bishnoi, Theofilos Spyrou and Said Hamdioui
Publié dans: 2025
Éditeur: -

Adaptive Multi-Threshold Encoding for Energy-Efficient ECG Classification Architecture using Spiking Neural Network

Auteurs: Sumit Diware, Yingzhou Dong, Mohammad Amin Yaldagard, Said Hamdioui and Rajendra Bishnoi
Publié dans: 2024
Éditeur: -

Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery

Auteurs: Pieruigi Dell’Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari
Publié dans: 2024 IEEE Symposium on Computers and Communications (ISCC), 2024
Éditeur: IEEE
DOI: 10.1109/ISCC61673.2024.10733629

ESAM: Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning

Auteurs: Lucas Huijbregts, Liu Hsiao-Hsuan, Paul Detterer, Said Hamdioui, Amirreza Yousefzadeh, Rajendra Bishnoi
Publié dans: ACM Design Automation Conference (DAC),, 2024
Éditeur: ACM Design Automation Conference (DAC),

Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery

Auteurs: P. Dell'Acqua, L. Carnevale, M. Fazio, M. Villari
Publié dans: IEEE DistInSys 2024 : The 4th IEEE International Workshop on Distributed Intelligent, Numéro ., 2024
Éditeur: .

Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E)

Auteurs: Rajendra Bishnoi, Mohammad Amin Yaldagard, Said Hamdioui, Kanishkan Vadivel, Manolis Sifalakis, Nicolas Daniel Rodriguez, Pedro Julian, Lothar Ratschbacher, Maen Mallah, Yogesh Ramesh Patil, Rashid Ali & Fabian Chersi
Publié dans: 2024
Éditeur: -

Scaling NVMs in Event-Driven Architectures for Edge Inference

Auteurs: Junren Chen, Kanishkan Vadivel, Dawit Abdi, Priya Venugopal, Refik Bilgic, Giacomo Indiveri, Fernando Garcia Redondo, Dwaipayan Biswas
Publié dans: 2024 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2025
Éditeur: IEEE
DOI: 10.1109/APCCAS62602.2024.10808989

Neuromorphic IoT Architecture for Efficient Water Management

Auteurs: Mugdim Bublin, Heimo Hirner, Antoine-Martin Lanners, Radu Grosu
Publié dans: 2025
Éditeur: -

TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision

Auteurs: Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang
Publié dans: 2024 International Conference on Neuromorphic Systems (ICONS), 2024
Éditeur: IEEE
DOI: 10.1109/ICONS62911.2024.00022

Energy-efficient Computation-In-Memory Architecture using Emerging Technologies

Auteurs: Bishnoi, R., Diware, S., Gebregiorgis, A., Thomann, S., Mannaa, S., Deveautour, B., ... & Hamdioui, S
Publié dans: IEEE International Conference on Microelectronics (ICM), Special session, 2023
Éditeur: IEEE International Conference on Microelectronics (ICM), Special session

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

Auteurs: Guangzhi Tang
Publié dans: Frontiers in Neuroscience, 2024
Éditeur: Frontiers in Neuroscience

Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance

Auteurs: Windhager D., Moser B.A., Lunglmayr M.
Publié dans: Eurocast 2024 Conference, 2024
Éditeur: Eurocast 2024 Conference

EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management

Auteurs: M. Colosi, M. Garofalo, L. Carnevale, R. Marino, M. Fazio, M. Villari
Publié dans: EEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies, Numéro ...., 2024
Éditeur: ....
DOI: 10.1145/3632366.3632372

Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks

Auteurs: Diware, S., M.A. Yaldagard, Gebregiorgis, A., Joshi, R. V., Hamdioui, S., & Bishnoi, R
Publié dans: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024
Éditeur: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

SNN Architecture for Differential Time Encoding Using Decoupled Processing Time

Auteurs: Windhager D., Moser B.A., Lunglmayr M.
Publié dans: AICAS2024 Conference, 2024
Éditeur: ...................

POSTER: Continuous optimization and benchmarking of ai models on microcontrollers: a TinyMLOps framework for real-world applications

Auteurs: Mattia Antonini, Massimo Vecchio, Fabio Antonelli
Publié dans: 2025
Éditeur: -

Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices

Auteurs: Gleb Radchenko, Victoria Fill
Publié dans: Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012728500003711

Other (5)

Autonome Züge könnten Nebenbahnen retten

Auteurs: Heimo Hirner, Stefan Thaler
Publié dans: 2025
Éditeur: -

A scalable and flexible interconnect-based dataflow architecture for Edge-AI inference.

Auteurs: Krichene H. et al.
Publié dans: In Proceedings of the European Conference on EDGE AI Technologies and Applications (EEAI23), 2024
Éditeur: .

Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices

Auteurs: Radchenko G., Fill V.
Publié dans: Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024
Éditeur: .........

A dataflow architecture with distributed control for DNN acceleration

Auteurs: Krichene H. et al.
Publié dans: In Proceedings of the 13th Mediterranean Conference on Embedded Computing (MECO24), Numéro ....., 2024
Éditeur: .....

Bridging the Gap Between Models in RL: Test Models vs. Neural Networks

Auteurs: Lorber F., Tappler M.
Publié dans: ICSTW (2024), 2024
Éditeur: .................

Book chapters (1)

Edge Intelligence Architecture for Distributed and Federated Learning Systems

Auteurs: Pieruigi Dell’Acqua; Lorenzo Carnevale; Massimo Villari
Publié dans: 2024
Éditeur: -

Peer reviewed articles (1)

EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction

Auteurs: Alexandra Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis
Publié dans: IEEE Transactions on Circuits and Systems for Artificial Intelligence, Numéro 1, 2024, ISSN 2996-6647
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCASAI.2024.3491673