Open source deep learning platform dedicated to Embedded hardware and Europe

Informazioni relative al progetto

NEUROKIT2E

ID dell’accordo di sovvenzione: 101112268

DOI

10.3030/101112268

Data della firma CE 21 Maggio 2023

Data di avvio 1 Giugno 2023

Data di completamento 31 Maggio 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 19 423 471,66

Contributo UE

€ 6 203 293,72

Coordinato da

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (21)

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

Autori: Diware, S., Chilakala, K., Joshi, R. V., Hamdioui, S., & Bishnoi, R.
Pubblicato in: IEEE Access, 2024
Editore: Journal : IEEE Access

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

Autori: C. Pino, F. Rundo, C. Spampinato and S. Battiato
Pubblicato in: 2023 Smart Systems Integration Conference and Exhibition (SSI), Brugge, Belgium, 2023​, 2023
Editore: 2023 Smart Systems Integration Conference and Exhibition (SSI), Brugge, Belgium, 2023​

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

Autori: Fabian Chersi, Olivier Bichler. Cyril Moineau, Maxence Naud, Laurent Soutier, Vincent Templier, Thibault Allenet, Inna Kucher, Vincent Lorrain
Pubblicato in: .., Numero .., 2023
Editore: ...

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

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

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

Autori: Yashvardhan Biyani, Rajendra Bishnoi, Theofilos Spyrou and Said Hamdioui
Pubblicato in: 2025
Editore: -

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

Autori: Sumit Diware, Yingzhou Dong, Mohammad Amin Yaldagard, Said Hamdioui and Rajendra Bishnoi
Pubblicato in: 2024
Editore: -

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

Autori: Pieruigi Dell’Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari
Pubblicato in: 2024 IEEE Symposium on Computers and Communications (ISCC), 2024
Editore: IEEE
DOI: 10.1109/ISCC61673.2024.10733629

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

Autori: Lucas Huijbregts, Liu Hsiao-Hsuan, Paul Detterer, Said Hamdioui, Amirreza Yousefzadeh, Rajendra Bishnoi
Pubblicato in: ACM Design Automation Conference (DAC),, 2024
Editore: ACM Design Automation Conference (DAC),

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

Autori: P. Dell'Acqua, L. Carnevale, M. Fazio, M. Villari
Pubblicato in: IEEE DistInSys 2024 : The 4th IEEE International Workshop on Distributed Intelligent, Numero ., 2024
Editore: .

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

Autori: 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
Pubblicato in: 2024
Editore: -

Scaling NVMs in Event-Driven Architectures for Edge Inference

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

Neuromorphic IoT Architecture for Efficient Water Management

Autori: Mugdim Bublin, Heimo Hirner, Antoine-Martin Lanners, Radu Grosu
Pubblicato in: 2025
Editore: -

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

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

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

Autori: Bishnoi, R., Diware, S., Gebregiorgis, A., Thomann, S., Mannaa, S., Deveautour, B., ... & Hamdioui, S
Pubblicato in: IEEE International Conference on Microelectronics (ICM), Special session, 2023
Editore: IEEE International Conference on Microelectronics (ICM), Special session

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

Autori: Guangzhi Tang
Pubblicato in: Frontiers in Neuroscience, 2024
Editore: Frontiers in Neuroscience

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

Autori: Windhager D., Moser B.A., Lunglmayr M.
Pubblicato in: Eurocast 2024 Conference, 2024
Editore: Eurocast 2024 Conference

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

Autori: M. Colosi, M. Garofalo, L. Carnevale, R. Marino, M. Fazio, M. Villari
Pubblicato in: EEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies, Numero ...., 2024
Editore: ....
DOI: 10.1145/3632366.3632372

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

Autori: Diware, S., M.A. Yaldagard, Gebregiorgis, A., Joshi, R. V., Hamdioui, S., & Bishnoi, R
Pubblicato in: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024
Editore: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

SNN Architecture for Differential Time Encoding Using Decoupled Processing Time

Autori: Windhager D., Moser B.A., Lunglmayr M.
Pubblicato in: AICAS2024 Conference, 2024
Editore: ...................

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

Autori: Mattia Antonini, Massimo Vecchio, Fabio Antonelli
Pubblicato in: 2025
Editore: -

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

Autori: Gleb Radchenko, Victoria Fill
Pubblicato in: Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012728500003711

Other (5)

Autonome Züge könnten Nebenbahnen retten

Autori: Heimo Hirner, Stefan Thaler
Pubblicato in: 2025
Editore: -

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

Autori: Krichene H. et al.
Pubblicato in: In Proceedings of the European Conference on EDGE AI Technologies and Applications (EEAI23), 2024
Editore: .

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

Autori: Radchenko G., Fill V.
Pubblicato in: Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024
Editore: .........

A dataflow architecture with distributed control for DNN acceleration

Autori: Krichene H. et al.
Pubblicato in: In Proceedings of the 13th Mediterranean Conference on Embedded Computing (MECO24), Numero ....., 2024
Editore: .....

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

Autori: Lorber F., Tappler M.
Pubblicato in: ICSTW (2024), 2024
Editore: .................

Book chapters (1)

Edge Intelligence Architecture for Distributed and Federated Learning Systems

Autori: Pieruigi Dell’Acqua; Lorenzo Carnevale; Massimo Villari
Pubblicato in: 2024
Editore: -

Peer reviewed articles (1)

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

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