E Haddad, RV Kruzelecky, P Murzionak… - Frontiers in …, 2022 - frontiersin.org
It is surprising to see the wide range and versatile potential of applications of the VO2, due to its transition from a semiconductor phase at low temperature, to a metallic state at high …
C Delacour, S Carapezzi, M Abernot… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Oscillatory neural network (ONN) is an emerging neuromorphic architecture composed of oscillators that implement neurons and are coupled by synapses. ONNs exhibit rich …
C Delacour, A Todri-Sanial - Frontiers in neuroscience, 2021 - frontiersin.org
Oscillatory Neural Network (ONN) is an emerging neuromorphic architecture with oscillators representing neurons and information encoded in oscillator's phase relations. In an ONN …
M Abernot, TS Aida - Neuromorphic Computing and Engineering, 2023 - iopscience.iop.org
The growing number of edge devices in everyday life generates a considerable amount of data that current AI algorithms, like artificial neural networks, cannot handle inside edge …
A Bonagiri, D Biswas… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The recent surge of interest in brain-inspired architectures along with the development of nonlinear dynamical electronic devices and circuits has enabled energy-efficient hardware …
C Delacour, S Carapezzi, M Abernot… - 2021 IEEE computer …, 2021 - ieeexplore.ieee.org
In this paper, we showcase the innovative concept of implementing Oscillatory Neural Networks (ONNs) for neuromorphic computing with beyond-CMOS devices based on …
MJ Avedillo, M Jiménez Través, C Delacour… - 2023 - digital.csic.es
Coupled nano-oscillators are attracting increasing interest because of their potential to perform computation efficiently, enabling new applications in computing and information …
In this paper, we assess an innovative concept of emulating biological neurons with oscillators to implement an oscillatory neural network (ONN) with beyond-CMOS devices …
Digital electronics based on von Neumann's architecture is reaching its limits to solve large- scale problems essentially due to the memory fetching. Instead, recent efforts to bring the …