On this page we provide links to all the publically available reports from the Fun-COMP project. If you can’t find what you are looking for here, please also look at our NEWS pages of this website, where you will find lots of other interesting information and links to all journal papers resulting from the Fun-COMP project

  • (link) – Report and animations of N-vN device simulations (D1.5)
  • (link) – Report on the integrated N-vN computing primitives: extended unit-cell with WDM capability demonstration (D1.2)
  • (link) – Report on fabrication and performance of 1st generation basic N-vN unit-cell device (D1.1)
  • (link) – 1st cross-disciplinary training session (18/03/2019): S. Stringer, “Spiking Neural Networks and the Binding Problem”. Also, see this interesting interview from Simon on the nature and potential of AI (link). (D5.7)
  • (links to part 1 and part 2) – 1st cross-disciplinary training session (18/03/2019): A. Sebastian, “Phase-change memory devices”. (D5.7)
  • (link) – A new approach to reservoir computing (D3.1)
  • (link) – Report on concepts and fabrication methods for N-vN cell arrays (D2.1)
  • (link) – Correlations in Big Data Extracted Using Computing In-Memory (D4.1)
  • (link) – (Mixed Precision) Memcomputing: A new approach for fast energy-efficient computation and AI (D4.4)
  • (link) – Public summary of mid-project results (D5.2)
  • (link) – Article published in popular scientific/technical magazine/website (D5.4)
  • (link) – 2nd cross-disciplinary training session (22/09/2019) and associated training webinars/videos (D5.8)
  • (link) – Open source design kit online (D5.9)
  • (link) – Hardware demonstrator for a photonic reservoir computing network with integrated PCM cells (D3.2)
  • (link) – Hardware demonstrator for computing-in-memory using non-von Neumann PCM device arrays (D4.2)
  • (link) – Technology workshop/forum report (D5.10)
  • (link) – Final exhibition event (at META22 conference) (D5.11)