POST-DIGITAL
POST-DIGITAL POST-DIGITAL: NEUROMORPHIC COMPUTING IN PHOTONIC AND OTHER NONLINEAR MEDIA

  • I.P.: Ingo Fischer, Claudio Mirasso
  • Partners: CSIC, UBFC, U Groningen, ULB, IBM, LightOn, VLC Photonics, IMEC, Thales
  • Página web: https://postdigital.astonphotonics.uk
  • Fecha de inicio: 1 de Abril de 2020
  • Fecha de final: 31 de Marzo de 2024

POST-DIGITAL is a Marie Skłodowska-Curie Innovative Training Network, funded by the European Union’s Horizon 2020 research and innovation programme.
POST-DIGITAL is committed to form a new generation of engineers and researchers, affording them with a uniquely broad interdisciplinary education and training which enables them to design and develop unconventional computing systems which, for the first time, pass over the threshold of real-world exploitability and which thereby help Europe’s ICT landscape to master the transformation out of the impending crises of digital technologies.
POST-DIGITAL brings together fourteen leading academic and industrial players (including IBM, Thales and three highly reputed SMEs) in optical and neuromorphic computing, already connected in long-standing collaboration networks. These groups will now join forces in order to train through ground breaking research, complimentary skills training and industrial secondments fifteen high calibre early-stage researchers to become backbone innovators in a technology domain that is crucial for Europe’s sustained competitiveness in ICT scenarios facing a dramatic pressure for fundamental re-thinking.

Investigadores

  • Apostolos Argyris

    Apostolos Argyris

  • Miguel C. Soriano

    Miguel C. Soriano

  • Ingo Fischer

    Ingo Fischer

  • Claudio Mirasso

    Claudio Mirasso

  • Lucas Talandier

    Lucas Talandier

  • Mirko Goldmann

    Mirko Goldmann

Publicaciones recientes

Speedup of an all-optical delay-based reservoir computer via input rate increase and bandwidth enhancement

Goldmann, Mirko; Estébanez, Irene; Mirasso, Claudio R.; Fischer, Ingo; Argyris, Apostolos; Soriano, Miguel C.
Chaos 35, 073131 (2025)

Adaptive control of recurrent neural networks using conceptors

Pourcel, Guillaume; Goldmann, Mirko; Fischer, Ingo; Soriano, Miguel C.
Chaos 34, 103127 (2024)

Computing with Dynamical Systems: from implementations towards novel concepts

Goldmann, Mirko (Supervisors: Fischer, Ingo; Mirasso, Claudio R.; Soriano, Miguel C.)
PhD Thesis (2024)

A photonics perspective on computing with physical substrates

Abreu; Boikov; Goldmann, M.; Jonuzi; Lupo; Masaad; Nguyen; Picco; Pourcel; Skalli; Talandier, L.; Vettelschoss; Vlieg; Argyris, A.; Bienstman; Brunner; Dambre; Daudet; Domenech; Fischer, I.; Horst; Massar; Mirasso, C.R.; Offrein; Rossi; Soriano, M. C.; Sygletos; Turitsyn
Reviews in Physics 12, 100093 (2024)

Exploiting oscillatory dynamics of delay systems for reservoir computing

Goldmann, Mirko; Fischer, Ingo ; Mirasso, Claudio R.; Soriano, Miguel C.
Chaos 33, 093139 (2023)

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