Building Oscillatory Neural Networks: AI Applications and Physical Design Challenges

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Downloads (Pure)


This talk is about a novel computing paradigm based on coupled oscillatory neural networks. Oscillatory neural networks (ONNs) are recurrent neural networks where each neuron is an oscillator and oscillator couplings are the synaptic weights. Inspired by Hopfield Neural Networks, ONNs make use of nonlinear dynamics to compute and solve computational problems such as associative memory tasks and combinatorial optimization problems difficult to address with conventional digital computers. An exciting direction in recent years has been to implement Ising machines based on the Ising model of coupled binary spins on magnets. In this talk, I cover the design aspects of building ONNs from devices to architecture to allow to benefit from the parallel computations with oscillators while implementing them in an energy efficient way.
Originele taal-2Engels
TitelISPD 2023 - Proceedings of the 2023 International Symposium on Physical Design
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's2
ISBN van elektronische versie978-1-4503-9978-4
StatusGepubliceerd - 26 mrt. 2023
EvenementInternational Symposium on Physical Design, ISPD 2023 - Virtual/Online, Verenigde Staten van Amerika
Duur: 26 mrt. 202329 mrt. 2023


CongresInternational Symposium on Physical Design, ISPD 2023
Verkorte titelISPD 2023
Land/RegioVerenigde Staten van Amerika


Duik in de onderzoeksthema's van 'Building Oscillatory Neural Networks: AI Applications and Physical Design Challenges'. Samen vormen ze een unieke vingerafdruk.

Citeer dit