European Training Network on Post-Digital Computing (Post-Digital)

Informacje na temat projektu

POST-DIGITAL

Identyfikator umowy o grant: 860360

DOI

10.3030/860360

Projekt został zamknięty

Data podpisania przez KE 27 Marca 2020

Data rozpoczęcia 1 Kwietnia 2020

Data zakończenia 31 Marca 2024

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity

€ 4 021 262,28

Wkład UE

€ 4 021 262,28

Koordynowany przez

ASTON UNIVERSITY
United Kingdom

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (23)

Report on final prototype of integrated neuromorphic system with integrated readout
Network applications of neuromorphic computing (OTAW3)
3rd year POST-DIGITAL workshop

3rd year POST-DIGITAL workshop

Report on the design of photonic- and electronic- based analogue computing

Report on the design of photonic- and electronic- based analogue computing.

Report on first prototype of integrated neuromorphic system with integrated readout
Open-to-all Workshop I (OTAW I) (details on courses provided and ESR attendance record)
Final report on publications and public engagement activities completed
POST-DIGITAL Mini-symposia: Progress online adaptation of conceptor-controlled neural networks
Open-to-all Workshop II (OTAW II) (details on courses provided and ESR attendance record)
Simulation-based evaluation of multi-reservoir design methodology for standard and advanced benchmarks
1st year POST-DIGITAL workshop and TSW I (details on courses provided)
POST-DIGITAL Mini-symposia: Design methodology for powerful hierarchical integrated analog computing systems
2nd year POST-DIGITAL workshop (details on courses provided and ESR attendance record)
Report on the characterization of the photonic- and electronic- based analogue computing implementations
Report on comparison of neuromorphic computation solutions, with respect to performance on standard tasks, speed, energy consumption and footprint.
Report on critical gaps in existing formal methods to capture computation in unconventional substrates
Final POST-DIGITAL workshop (details on courses provided and ESR attendance record)
Report on novel approaches (I) core formal ideas and demo implementations in simulation and (II) worked-out formalism and demo implementations in unconventional hardware
Interim report on publications and public engagement activities completed
"International Summer School on the topic of ""Novel Nonlinear Substrates for Neural Networks"""

International Summer School on the topic of “Novel Nonlinear Substrates for Neural Networks”

Simulation and experimental study of application of photonic reservoir computing to non-linear optical channel equalization
Report on the evaluation of the photonic- and electronic- based analogue computing implementations
POST-DIGITAL Mini-symposia: Integrated photonic reservoir computing for telecom applications

POST-DIGITAL Mini-symposia: Integrated photonic reservoir computing for telecom applications

Other (1)

15 Doctoral degrees awarded

Websites, patent fillings, videos etc. (1)

POST-DIGITAL website completed

POST-DIGITAL website completed

Publikacje

Peer reviewed articles (29)

Hands-on reservoir computing: a tutorial for practical implementation

Autorzy: Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner and Hans Kleemann
Opublikowane w: Neuromorphic Computing and Engineering, Numer Volume 2, Number 3, 2022, ISSN 2634-4386
Wydawca: IOP Publishing Ltd
DOI: 10.1088/2634-4386/ac7db7

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing

Autorzy: Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner
Opublikowane w: Optical Materials Express, Numer 21593930, 2022, ISSN 2159-3930
Wydawca: Optical Society of America
DOI: 10.1364/ome.451524

Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers

Autorzy: TIGERS JONUZI, ALESSANDRO LUPO, MIGUEL C.SORIANO, SERGE MASSAR, J. D. DOMENÉCH
Opublikowane w: Optics Express, Numer 31(12), 2023, Strona(/y) 19255-19265, ISSN 1094-4087
Wydawca: Optical Society of America
DOI: 10.1364/oe.489246

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser

Autorzy: Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A Lott, Daniel Brunner
Opublikowane w: Journal of Physics: Photonics, Numer 3/2, 2021, Strona(/y) 024017, ISSN 2515-7647
Wydawca: IOP Institute of Physics
DOI: 10.1088/2515-7647/abf6bd

Exploiting oscillatory dynamics of delay systems for reservoir computing

Autorzy: Mirko Goldmann; Ingo Fischer; Claudio R. Mirasso; Miguel C. Soriano
Opublikowane w: Chaos, Numer 33, 2023, Strona(/y) 093139, ISSN 1089-7682
Wydawca: AIP Publishing
DOI: 10.1063/5.0156494

56 GBaud PAM-4 100 Km Transmission System With Photonic Processing Schemes

Autorzy: Irene Estébanez; Shi Li; Janek Schwind; Ingo Fischer; Stephan Pachnicke; Apostolos Argyris
Opublikowane w: Journal of Lightwave Technology, 2021, Strona(/y) 55 - 62, ISSN 0733-8724
Wydawca: Optical Society of America
DOI: 10.1109/jlt.2021.3117921

Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers–Kronig receiver

Autorzy: Sarah Masaad, Emmanuel Gooskens , Stijn Sackesyn , Joni Dambre and Peter Bienstman
Opublikowane w: Nanophotonics, 2022, ISSN 2192-8606
Wydawca: De Gruyter
DOI: 10.1515/nanoph-2022-0426

High Speed Human Action Recognition using a Photonic Reservoir Computer

Autorzy: Enrico Picco, Piotr Antonik, Serge Massar
Opublikowane w: Neural Networks,, Numer Volume 165,, 2023, Strona(/y) 662-675, ISSN 0893-6080
Wydawca: Pergamon Press Ltd.

Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach

Autorzy: Marina Zajnulina, Alessandro Lupo, Serge Massar
Opublikowane w: Optics Express, 2024, ISSN 1094-4087
Wydawca: Optical Society of America
DOI: 10.1364/oe.503279

Photonic neuromorphic computing using vertical cavity semiconductor lasers

Autorzy: Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, D. Brunner
Opublikowane w: Optical Materials Express, Numer 12, 2022, Strona(/y) 2395-2414, ISSN 2159-3930
Wydawca: Optical Society of America
DOI: 10.1364/ome.450926

Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization

Autorzy: Diego Argüello Ron, Pedro J. Freire, Jaroslaw E. Prilepsky, Morteza Kamalian-Kopae, Antonio Napoli, Sergei K. Turitsyn
Opublikowane w: Scientific Reports, Numer 12, 2022, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-022-12563-0

Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation

Autorzy: Benedikt Vettelschoss; André Röhm; Miguel C. Soriano
Opublikowane w: IEEE Transactions on Neural Networks and Learning Systems, Numer Special Numer on New Frontiers in Extremely Efficient Reservoir Computing, 2021, ISSN 2162-237X
Wydawca: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2021.3116709

Online digital compensation of pump dithering induced phase and amplitude distortions in transmission links with cascaded fibre-optical parametric amplifiers

Autorzy: Long H. Nguyen, Sonia Boscolo, and Stylianos Sygletos
Opublikowane w: Opt. Express, Numer 32, 2024, Strona(/y) 13467-13477, ISSN 1094-4087
Wydawca: Optical Society of America
DOI: 10.1364/oe.516840

Photonic extreme learning machine based on frequency multiplexing

Autorzy: Alessandro Lupo, Lorenz Butschek, and Serge Massar
Opublikowane w: Optics Express, Numer Volume . 29,Numer 18,, 2021, Strona(/y) p. 28257-28276, ISSN 1094-4087
Wydawca: Optical Society of America
DOI: 10.1364/oe.433535

Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks

Autorzy: Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Opublikowane w: PHYSICAL REVIEW E, Numer Vol. 106, Iss. 4, 2022, ISSN 2470-0045
Wydawca: American Physical Society
DOI: 10.48550/arxiv.2111.03706

Photonic reservoir computer based on frequency multiplexing

Autorzy: Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Alessandro Lupo, Marc Haelterman, Serge Massar
Opublikowane w: Optics Letters, Numer Vol. 47, Numer 4,, 2022, Strona(/y) pp. 782-785, ISSN 0146-9592
Wydawca: Optical Society of America
DOI: 10.1364/ol.451087

A photonics perspective on computing with physical substrates

Autorzy: S. Abreu, I. Boikov, M. Goldmann, T. Jonuzi, A. Lupo, S. Masaad, L. Nguyen, E. Picco, G. Pourcel, A. Skalli, L. Talandier, B. Vettelschoss, E.A. Vlieg, A. Argyris, P. Bienstman, D. Brunner, J. Dambre, L. Daudet, J.D. Domenech, I. Fischer, F. Horst, S. Massar, C.R. Mirasso, B.J. Offrein, A. Rossi, M.C. Soriano, S. Sygletos, S.K. Turitsyn
Opublikowane w: Reviews in Physics, Numer 12, 2024, Strona(/y) 100093, ISSN 2405-4283
Wydawca: Elsevier B.V.
DOI: 10.1016/j.revip.2024.100093

Deep photonic reservoir computer based on frequency multiplexing with fully analog connection between layers

Autorzy: Alessandro Lupo, Enrico Picco, Marina Zajnulina, and Serge Massar
Opublikowane w: Optica, Numer Vol. 10, Numer 11,, 2023, Strona(/y) 1478-1485, ISSN 2334-2536
Wydawca: OPTICA Publishing Group
DOI: 10.1364/optica.489501

Photonic neuromorphic technologies in optical communications

Autorzy: Apostolos Argyris
Opublikowane w: Nanophotonics, Numer Volume 11 Numer 5, 2022, ISSN 2192-8606
Wydawca: De Gruyter
DOI: 10.1515/nanoph-2021-0578

Parallel Extreme Learning Machines Based on Frequency Multiplexing

Autorzy: Alessandro Lupo, Serge Massar
Opublikowane w: MDPI Applied Sciences, Numer Volume 12, Numer 1, Special Numer Neuromorphic Photonics: Current Devices, Systems and Perspectives, 2021, Strona(/y) p. 214, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app12010214

Is the Number of Trainable Parameters All That Actually Matters?

Autorzy: Chatelain, Amélie; Djeghri, Amine; Hesslow, Daniel; Launay, Julien; Poli, Iacopo
Opublikowane w: Proceedings of Machine Learning Research, Numer 163, 2022, ISSN 2640-3498
Wydawca: MLR Press

Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance

Autorzy: Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano
Opublikowane w: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, ISSN 2161-4407, ISBN 978-1-6654-3900-8
Wydawca: IEEE
DOI: 10.1109/ijcnn52387.2021.9534333

Nonlinear photonic dynamical systems for unconventional computing

Autorzy: Daniel Brunner; Laurent Larger; Miguel Cornelles Soriano
Opublikowane w: Nonlinear Theory and Its Applications, IEICE, Numer 21854106, 2022, ISSN 2185-4106
Wydawca: jstage
DOI: 10.1587/nolta.13.26

Boolean learning under noise-perturbations in hardware neural networks

Autorzy: Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Opublikowane w: Nanophotonics, Numer 9/13, 2020, Strona(/y) 4139-4147, ISSN 2192-8614
Wydawca: De Gruyter
DOI: 10.1515/nanoph-2020-0171

Evanescent coupling of nonlinear integrated cavities for all-optical reservoir computing

Autorzy: I K Boikov, D Brunner, A De Rossi
Opublikowane w: New Journal of Physics, Numer 25, 2023, Strona(/y) 093056, ISSN 1367-2630
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1367-2630/acfba6

Analog information processing with time-multiplexed optoelectronic systems

Autorzy: Mirko Goldmann, Ingo Fischer, Miguel C. Cornelles-Soriano
Opublikowane w: Emerging Topics in Artificial Intelligence (ETAI) 2021, Numer 11804, 118041X, 2022, ISSN 0277-786X
Wydawca: SPIE
DOI: 10.1117/12.2594151

Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation

Autorzy: Pedro J. Freire, Antonio Napoli, Bernhard Spinnler, Michael Anderson, Diego Argüello Ron, Wolfgang Schairer, Thomas Bex, Nelson Costa, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Opublikowane w: Journal of Lightwave Technology, Numer 41, 2024, Strona(/y) 4557-4581, ISSN 0733-8724
Wydawca: Optical Society of America
DOI: 10.1109/jlt.2023.3234327

Toward a formal theory for computing machines made out of whatever physics offers

Autorzy: Herbert Jaeger, Beatriz Noheda & Wilfred G. van der Wiel
Opublikowane w: Nature Communications, Numer volume 14, Article number: 4911 (2023), 2023, ISSN 2041-1723
Wydawca: Nature Publishing Group

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

Autorzy: Elger A. Vlieg,Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein
Opublikowane w: Applied Sciences, Numer 12(9), 2022, Strona(/y) 4226, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app12094226

Conference proceedings (9)

The Demonstration of Photorefractive Synaptic Connections for an Integrated Photonic Crossbar Array

Autorzy: Elger A. Vlieg, Folkert Horst, Roger Dangel, Bert J. Offrein
Opublikowane w: 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2023, Strona(/y) 1-1
Wydawca: IEEE
DOI: 10.1109/cleo/europe-eqec57999.2023.10232391

Flow cytometry with event-based vision and spiking neuromorphic hardware

Autorzy: Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman
Opublikowane w: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Numer pp. 4139-4147, 2023
Wydawca: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

A complete, parallel, and autonomous photonic neural network in a semiconductor multimode laser

Autorzy: Anas Skalli, Javier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Opublikowane w: Emerging Topics in Artificial Intelligence (ETAI) 2021, 2021
Wydawca: SPIE
DOI: 10.1117/12.2594646

Photonic co-processors in HPC: Using LightOn OPUs for Randomized Numerical Linear Algebra

Autorzy: Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphael Lafargue, Kilian Muller, Ruben Ohana, Gustave Pariente, Iacopo Poli
Opublikowane w: 2021 IEEE Hot Chips 33 Symposium (HCS), 2022, Strona(/y) 1-9
Wydawca: IEEE
DOI: 10.1109/hcs52781.2021.9566948

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Autorzy: Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel
Opublikowane w: Proceedings of the 39 th International Conference on Machine Learning, 2022, ISSN 2640-3498
Wydawca: MLR press

Programmable photorefractive optical synapses in integrated photonics for neuromorphic computing

Autorzy: Elger A. Vlieg, Folkert Horst, Roger Dangel, and Bert J. Offrein
Opublikowane w: European Conference on Integrated Optics, 2023
Wydawca: University of Twente

Neural Network Computing using a Semiconductor Multimode Laser

Autorzy: Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Opublikowane w: OSA Nonlinear Optics 2021, 2022
Wydawca: Optica Publishing Group
DOI: 10.1364/nlo.2021.nth1a.2

Photonic photorefractive MAC accelerator for Machine Learning

Autorzy: Elger A. Vlieg, Roger Dangel, Folkert Horst, Bert J. Offrein
Opublikowane w: Photonics in Switching and Computing 2021, 2022
Wydawca: Optica Publishing Group
DOI: 10.1364/psc.2021.m2b.3

Motivation and Challenges for Applying Photonic Neuromorphic Computing Technologies

Autorzy: B.J. Offrein, E.A. Vlieg, F. Hermann, L. Carraria Martinotti, F. Horst
Opublikowane w: 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2023
Wydawca: IEEE
DOI: 10.1109/cleo/europe-eqec57999.2023.10232665

Other (13)

Concepts and Paradigms for Neuromorphic Programming

Autorzy: Steven Abreu
Opublikowane w: 2023
Wydawca: arxiv

Toward a formal theory for computing machines made out of whatever physics offers: extended version

Autorzy: Herbert Jaeger, Beatriz Noheda, Wilfred G. van der Wiel
Opublikowane w: 2023
Wydawca: ArXive
DOI: 10.48550/arxiv.2307.15408

Nonlinear integrated optical resonators for optical fibre data recovery

Autorzy: Ivan K. Boikov, Daniel Brunner, Alfredo De Rossi
Opublikowane w: 2024
Wydawca: ArXiv

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing

Autorzy: Pedersen, Jens E.; Abreu, Steven; Jobst, Matthias; Lenz, Gregor; Fra, Vittorio; Bauer, Felix C.; Muir, Dylan R.; Zhou, Peng; Vogginger, Bernhard; Heckel, Kade; Urgese, Gianvito; Shankar, Sadasivan; Stewart, Terrence C.; Eshraghian, Jason K.; Sheik, Sadique
Opublikowane w: 2023
Wydawca: arXive
DOI: 10.48550/arxiv.2311.14641

Training a spiking neural network on an event-based label-free flow cytometry dataset

Autorzy: Gouda, Muhammed; Abreu, Steven; Lugnan, Alessio; Bienstman, Peter
Opublikowane w: arxiv, Numer 33, 2023
Wydawca: Arxiv
DOI: 10.48550/arxiv.2303.10632

Fully analog photonic deep Reservoir Computer based on frequency multiplexing.

Autorzy: A. Lupo, E. Picco, M. Zajnulina, S. Massar.
Opublikowane w: Arxiv, 2023
Wydawca: Arxiv
DOI: 10.48550/arxiv.2305.08892

Realization of Neural Network-based Optical Channel Equalizer in Restricted Hardware

Autorzy: Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Opublikowane w: 2021
Wydawca: Arxiv

Direct coupling of nonlinear integrated cavities for all-optical reservoir computing

Autorzy: Ivan Boikov, Daniel Brunner, Alfredo De Rossi
Opublikowane w: 2023
Wydawca: ArXiv

Photonic processing for a 56 GBaud PAM-4 100 km Transmission System

Autorzy: Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Opublikowane w: 2022
Wydawca: IFISC

Contrastive Embeddings for Neural Architectures

Autorzy: Daniel Hesslow & Iacopo Poli
Opublikowane w: 2021
Wydawca: Arxiv
DOI: 10.48550/arxiv.2102.04208

Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input

Autorzy: Picco, Enrico; Jaurigue, Lina; Lüdge, Kathy; Massar, Serge
Opublikowane w: 2023
Wydawca: ArXiv
DOI: 10.48550/arxiv.2401.14371

Timescales: the choreography of classical and unconventional computing

Autorzy: Herbert Jaeger*, Francky Catthoor
Opublikowane w: 2023
Wydawca: arXiv
DOI: 10.48550/arxiv.2301.00893

Deep Photonic Reservoir Computer for Speech Recognition

Autorzy: Enrico Picco, Alessandro Lupo, Serge Massar
Opublikowane w: 2023
Wydawca: Arxiv
DOI: 10.48550/arxiv.2312.06558

Prawa własności intelektualnej

Patent (1)

METHOD AND SYSTEM FOR MACHINE LEARNING USING OPTICAL DATA

Numer wniosku/publikacji: 21 305295
Data: 2021-03-11
Wnioskodawca/wnioskodawcy: LIGHT ON