Building Oscillatory Neural Networks: AI Applications and Physical Design Challenges

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Abstract

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.
Original languageEnglish
Title of host publicationISPD 2023 - Proceedings of the 2023 International Symposium on Physical Design
PublisherAssociation for Computing Machinery, Inc
Pages185-186
Number of pages2
ISBN (Electronic)978-1-4503-9978-4
DOIs
Publication statusPublished - 26 Mar 2023
EventInternational Symposium on Physical Design, ISPD 2023 - Virtual/Online, United States
Duration: 26 Mar 202329 Mar 2023

Conference

ConferenceInternational Symposium on Physical Design, ISPD 2023
Abbreviated titleISPD 2023
Country/TerritoryUnited States
Period26/03/2329/03/23

Keywords

  • Neuromorphic computing
  • Oscillatory neural networks

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