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
  • Pàgina web: https://postdigital.astonphotonics.uk
  • Data d'inici: 1 abril de 2020
  • Data de finalització: 31 març 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.

Investigadors

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

Publicacions recents

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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