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Found 12 papers, 0 papers with code
Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input
We present an experimental validation of a recently proposed optimization technique for reservoir computing, using an optoelectronic setup.
Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach
We provide a theoretical, numerical, and experimental investigation of the Kerr nonlinearity impact on the performance of a frequency-multiplexed Extreme Learning Machine (ELM).
Deep Photonic Reservoir Computer for Speech Recognition
Speech recognition is a critical task in the field of artificial intelligence and has witnessed remarkable advancements thanks to large and complex neural networks, whose training process typically requires massive amounts of labeled data and computationally intensive operations.
High Speed Human Action Recognition using a Photonic Reservoir Computer
The recognition of human actions in videos is one of the most active research fields in computer vision.
Random pattern and frequency generation using a photonic reservoir computer with output feedback
We demonstrate the first opto-electronic reservoir computer with output feedback and test it on two examples of time series generation tasks: frequency and random pattern generation.
Online training for high-performance analogue readout layers in photonic reservoir computers
We show numerically that online learning allows to circumvent the added complexity of the analogue layer and obtain the same level of performance as with a digital layer.
Photonic reservoir computer based on frequency multiplexing
Reservoir computing is a brain inspired approach for information processing, well suited to analogue implementations.
Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronisation and cryptography
We then show that trained reservoir computers can be used to crack chaos based cryptography and illustrate this on a chaos cryptosystem based on the Mackey-Glass system.
Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation
Reservoir computing is a bio-inspired computing paradigm for processing time-dependent signals.
Embodiment of Learning in Electro-Optical Signal Processors
Delay-coupled electro-optical systems have received much attention for their dynamical properties and their potential use in signal processing.
Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalisation
Reservoir Computing is a bio-inspired computing paradigm for processing time dependent signals.
Analog readout for optical reservoir computers
Operating speeds allowing for real time information operation have been reached using optoelectronic systems.
