Skip to main content

Overview on the PHRESCO Project: PHotonic REServoir COmputing

  • Conference paper
  • First Online:
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions (ICANN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11731))

Included in the following conference series:

  • 5211 Accesses

Abstract

PHRESCO is an EU-H2020 funded project that was running for four years and will be ending in September 2019. PHRESCO focused on the development of efficient cognitive computing into a specific silicon-based technology by co-designing a new reservoir computing chip, including innovative electronic and photonic components that will enable major breakthrough in the field. So far, a first-generation reservoir with 18 nodes and integrated readout was designed, fabricated, characterized and a training method has been developed. Additionally, large efforts of the consortium were dedicated to the design of the second-generation chip consisting of larger networks (60 nodes), with an on-chip readout and novel training approaches. This short abstract provides key information on the status of the work achieved and discuss further the potential exploitation routes and the key barriers that still need to be removed to bring the technology to a higher maturity level. A part of the exit strategy of PHRESCO is to identify potential future cooperation with interested stakeholders who are willing to co-develop the PHRESCO technology together with the PHRESCO partners for bringing it to an exploitable or marketable system. This abstract lays down the foundations for potential exploitation activities with interested stakeholders.

PHRESCO partners formed by Coordinator of the PHRESCO project.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Verstraeten, D., et al.: An experimental unification of reservoir computing methods. Neural Netw. 20(3), 391–403 (2007). https://doi.org/10.1016/j.neunet.2007.04.003

    Article  MATH  Google Scholar 

  2. Vandoorne, K., et al.: Experimental demonstration of reservoir computing on a silicon photonics chip. Nat. Commun. 5, 3541 (2014). https://doi.org/10.1038/ncomms4541

    Article  Google Scholar 

  3. Turner, V.: The digital universe of opportunities (2014). https://www.emc.com/leadership/digital-universe/2014iview/index.htm

  4. Sanchez, L., et al.: Experimental demonstration of a tunable transverse electric pass polarizer based on hybrid VO2/silicon technology. Opt. Lett. 43(15), 3650–3653 (2018). https://doi.org/10.1364/OL.43.003650

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Jean-Pierre Locquet .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Locquet, JP., PHRESCO Partners. (2019). Overview on the PHRESCO Project: PHotonic REServoir COmputing. In: Tetko, I., Kůrková, V., Karpov, P., Theis, F. (eds) Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions. ICANN 2019. Lecture Notes in Computer Science(), vol 11731. Springer, Cham. https://doi.org/10.1007/978-3-030-30493-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-30493-5_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30492-8

  • Online ISBN: 978-3-030-30493-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics