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05/13/2023
Convergence and scaling of Boolean-weight optimization for hardware reservoirs
Hardware implementation of neural network are an essential step to imple...
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04/20/2022
Noise mitigation strategies in physical feedforward neural networks
Physical neural networks are promising candidates for next generation ar...
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03/12/2021
The general aspects of noise in analogue hardware deep neural networks
Deep neural networks unlocked a vast range of new applications by solvin...
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12/21/2020
A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser
Neural networks are one of the disruptive computing concepts of our time...
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04/06/2020
Human action recognition with a large-scale brain-inspired photonic computer
The recognition of human actions in video streams is a challenging task ...
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04/06/2020
Bayesian optimisation of large-scale photonic reservoir computers
Introduction. Reservoir computing is a growing paradigm for simplified t...
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03/27/2020
Boolean learning under noise-perturbations in hardware neural networks
A high efficiency hardware integration of neural networks benefits from ...
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12/17/2019
Three dimensional waveguide-interconnects for scalable integration of photonic neural networks
Photonic waveguides are prime candidates for integrated and parallel pho...
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07/23/2019
Reservoir-size dependent learning in analogue neural networks
The implementation of artificial neural networks in hardware substrates ...
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07/21/2019
Fundamental aspects of noise in analog-hardware neural networks
We study and analyze the fundamental aspects of noise propagation in rec...
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05/04/2018
Efficient Design of Hardware-Enabled Recurrent Neural Networks
In this work, we propose a new approach towards the efficient design of ...
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11/14/2017