no code implementations • 25 Jan 2024 • Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar
We present an experimental validation of a recently proposed optimization technique for reservoir computing, using an optoelectronic setup.
no code implementations • 19 Dec 2023 • Marina Zajnulina, Alessandro Lupo, Serge Massar
We provide a theoretical, numerical, and experimental investigation of the Kerr nonlinearity impact on the performance of a frequency-multiplexed Extreme Learning Machine (ELM).
no code implementations • 11 Dec 2023 • Enrico Picco, Alessandro Lupo, Serge Massar
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.
no code implementations • 24 May 2023 • Enrico Picco, Piotr Antonik, Serge Massar
The recognition of human actions in videos is one of the most active research fields in computer vision.
no code implementations • 19 Dec 2020 • Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
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.
no code implementations • 19 Dec 2020 • Piotr Antonik, Marc Haelterman, Serge Massar
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.
no code implementations • 25 Aug 2020 • Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Alessandro Lupo, Marc Haelterman, Serge Massar
Reservoir computing is a brain inspired approach for information processing, well suited to analogue implementations.
no code implementations • 8 Feb 2018 • Piotr Antonik, Marvyn Gulina, Jaël Pauwels, Serge Massar
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.
no code implementations • 6 Feb 2018 • Piotr Antonik, Marc Haelterman, Serge Massar
Reservoir computing is a bio-inspired computing paradigm for processing time-dependent signals.
no code implementations • 20 Oct 2016 • Michiel Hermans, Piotr Antonik, Marc Haelterman, Serge Massar
Delay-coupled electro-optical systems have received much attention for their dynamical properties and their potential use in signal processing.
no code implementations • 20 Oct 2016 • Piotr Antonik, François Duport, Michiel Hermans, Anteo Smerieri, Marc Haelterman, Serge Massar
Reservoir Computing is a bio-inspired computing paradigm for processing time dependent signals.
no code implementations • NeurIPS 2012 • Anteo Smerieri, François Duport, Yvon Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar
Operating speeds allowing for real time information operation have been reached using optoelectronic systems.