Paper Info
Title
Overview On The Phresco Project: Photonic Reservoir Computing
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.
Year
DOI
Venue
2019
10.1007/978-3-030-30493-5_14
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS
Keywords
Field
DocType
Reservoir computing, Cognitive computing, Machine learning
Systems engineering,Computer science,Chip,Artificial intelligence,Reservoir computing,Photonics,Exit strategy,Cognitive computing,Machine learning
Conference
Volume
ISSN
Citations 
11731
0302-9743
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Jean-Pierre Locquet100.68