Research output per year
Research output per year
Description
Dataset is created from results present in the paper "Comprehensive Performance Analysis of a VCSEL-based Photonic Reservoir Computer". This work provides a comprehensive analysis of a telecom-wavelength GHz-rate VCSEL reservoir computing system, revealing the impact of key system parameters on its performance across different processing tasks.
Please note, uncompressed this dataset is approximately 1.9TB in size and is currently held off line but is available on request via the contact email provided on this record.
Please note, uncompressed this dataset is approximately 1.9TB in size and is currently held off line but is available on request via the contact email provided on this record.
| Date made available | 17 May 2021 |
|---|---|
| Publisher | University of Strathclyde |
| Date of data production | 17 Aug 2020 - 16 Sept 2020 |
Research output
- 1 Article
-
Comprehensive performance analysis of a VCSEL-based photonic reservoir computer
Bueno, J., Robertson, J., Hejda, M. & Hurtado, A., 15 Aug 2021, In: IEEE Photonics Technology Letters. 33, 16, p. 920-923 4 p., 9415868.Research output: Contribution to journal › Article › peer-review
Open AccessFile31 Citations (Scopus)138 Downloads (Pure)
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Turing AI Fellowship: PHOTONics for ultrafast Artificial Intelligence
Hurtado, A. (Fellow)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/21 → 31/12/25
Project: Research Fellowship
-
Energy-efficient and high-bandwidth neuromorphic nanophotonic chips for artificial intelligence systems (ChipAI) H2020-FETOPEN
Hurtado, A. (Principal Investigator) & Strain, M. (Co-investigator)
European Commission - Horizon Europe + H2020
1/03/19 → 28/02/22
Project: Research
-
BRAIN-inspired networks of ultrafast LASER neurons
Hurtado, A. (Principal Investigator)
10/11/17 → 9/11/21
Project: Research