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

Rezultaty

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)
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)
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 critical gaps in existing formal methods to capture computation in unconventional substrates
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”

POST-DIGITAL website completed

Publikacje

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

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 Volume 25, 2023, ISSN 1367-2630
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1367-2630/acfba6

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.

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

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; Stylianos Sygletos
Opublikowane w: Optics Express, Numer 32, 2024, Strona(/y) 13467-13477, ISSN 1094-4087
Wydawca: Optical Society of America
DOI: 10.1364/oe.516840

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

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

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

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

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

Concepts and Paradigms for Neuromorphic Programming

Autorzy: Steven Abreu
Opublikowane w: 2023
Wydawca: arxiv

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

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

Autorzy: Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli
Opublikowane w: 2021
Wydawca: Arxiv
DOI: 10.48550/arxiv.2104.14429

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: 2023
Wydawca: Arxiv

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

Experimental implementation of a neural networkoptical channel equalizer in restricted hardwareusing pruning and quantization

Autorzy: Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn
Opublikowane w: 2022
Wydawca: Arxiv
DOI: 10.48550/arxiv.2109.07204

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

Timescales: the choreography of classical and unconventional computing

Autorzy: Jaeger, Herbert; Catthoor, Francky
Opublikowane w: Arxiv, Numer 32, 2023
Wydawca: Arxiv
DOI: 10.48550/arxiv.2301.00893

Contrastive Embeddings for Neural Architectures

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

Is the Number of Trainable Parameters All That Actually Matters?

Autorzy: Chatelain, Amélie; Djeghri, Amine; Hesslow, Daniel; Launay, Julien; Poli, Iacopo
Opublikowane w: Numer 1, 2021
Wydawca: Arxiv

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

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: Xavier Porte; Anas Skalli; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner
Opublikowane w: Journal of Physics: Photonics, 2021
Wydawca: IOP Publishing
DOI: 10.14279/depositonce-12404

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: instname:, Numer 1, 2022
Wydawca: IFISC

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

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, ISBN 978-1-6654-3900-8
Wydawca: IEEE
DOI: 10.1109/ijcnn52387.2021.9534333

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 vol. 41, no. 14, 2023, Strona(/y) 4557-4581, ISSN 0733-8724
Wydawca: Optical Society of America
DOI: 10.1109/jlt.2023.3234327

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