Hardware realization of neuromorphic computing with a 4–port photonic reservoir for modulation format identification

Hardware realization of neuromorphic computing with a 4–port photonic reservoir for modulation format identification

The fields of machine learning and artificial intelligence drive researchers to explore energy-efficient, brain-inspired new hardware. Reservoir computing encompasses recurrent neural networks for sequential data processing and matches the performance of other recurrent networks with less training a...

Full description

Saved in:
Bibliographic Details
Main Authors: Enes Şeker, Rijil Thomas, Guillermo von Hünefeld, Stephan Suckow, Mahdi Kaveh, Gregor Ronniger, Pooyan Safari, Isaac Sackey, David Stahl, Colja Schubert, Johannes Karl Fischer, Ronald Freund, Max C Lemme
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Neuromorphic Computing and Engineering
Subjects:
photonic integrated circuits
neuromorphic computing
reservoir computing
neuromorphic PIC
telecom network monitoring
modulation format identification
Online Access:https://doi.org/10.1088/2634-4386/adf6d0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1088/2634-4386/adf6d0

Similar Items