no code implementations • 13 May 2023 • Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner
Hardware implementation of neural network are an essential step to implement next generation efficient and powerful artificial intelligence solutions.
no code implementations • 21 Dec 2020 • Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
Finally, the digital analog conversion can be realized with a standard deviation of only 5. 4 10^-2.
no code implementations • 27 Mar 2020 • Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
A high efficiency hardware integration of neural networks benefits from realizing nonlinearity, network connectivity and learning fully in a physical substrate.
no code implementations • 17 Dec 2019 • Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner
Photonic waveguides are prime candidates for integrated and parallel photonic interconnects.
no code implementations • 23 Jul 2019 • Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
However, important questions regarding impact of reservoir size and learning routines on the convergence-speed during learning remain unaddressed.
no code implementations • 21 Jul 2019 • Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
The system under study consists of noisy linear nodes, and we investigate the signal-to-noise ratio at the network's outputs which is the upper limit to such a system's computing accuracy.