263 citations · 573 across the 13 of their papers we have counts for
5 papers · 1 filter
Integrated Photonic Reservoir Computing with All-Optical Readout
Chonghuai Ma, Joris Van Kerrebrouck, Hong Deng +5
Integrated photonic reservoir computing has been demonstrated to be able to tackle different problems because of its neural network nature. A key advantage of photonic reservoir co…
A Quantum Optical Recurrent Neural Network for Online Processing of Quantum Times Series
Robbe De Prins, Guy Van der Sande, Peter Bienstman
Over the last decade, researchers have studied the synergy between quantum computing (QC) and classical machine learning (ML) algorithms. However, measurements in QC often disturb…
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
Fabio Pavanello, Cedric Marchand, Ian O'Connor +34
This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators…
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies
Fabio Pavanello, Elena Ioana Vatajelu, Alberto Bosio +6
The field of neuromorphic computing has been rapidly evolving in recent years, with an increasing focus on hardware design and reliability. This special session paper provides an o…
Training a spiking neural network on an event-based label-free flow cytometry dataset
Muhammed Gouda, Steven Abreu, Alessio Lugnan +1
Imaging flow cytometry systems aim to analyze a huge number of cells or micro-particles based on their physical characteristics. The vast majority of current systems acquire a larg…