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

  • Ingo Fischer

    Ingo Fischer

  • Claudio Mirasso

    Claudio Mirasso

  • Apostolos Argyris

    Apostolos Argyris

  • Miguel C. Soriano

    Miguel C. Soriano

  • Mirko Goldmann

    Mirko Goldmann

  • Lucas Talandier

    Lucas Talandier

Publicaciones recientes

56 GBaud PAM-4 100 km Transmission System with Photonic Processing Schemes

Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Submitted (2021)

Predicting hidden structure in dynamical systems

Gauthier, Daniel J.; Fischer, Ingo
Nature Machine Intelligence 3, 281–282 (2021)

Introduction to JSTQE Issue on Photonics for Deep Learning and Neural Computing

Prucnal, P.R.; Shastri, B.J.; Fischer, I.; Brunner, D.
IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 0200103 (1-3) (2020)

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