Search Results for author: Thomas J Hayward

Found 2 papers, 0 papers with code

A perspective on physical reservoir computing with nanomagnetic devices

no code implementations9 Dec 2022 Dan A Allwood, Matthew O A Ellis, David Griffin, Thomas J Hayward, Luca Manneschi, Mohammad F KH Musameh, Simon O'Keefe, Susan Stepney, Charles Swindells, Martin A Trefzer, Eleni Vasilaki, Guru Venkat, Ian Vidamour, Chester Wringe

Neural networks have revolutionized the area of artificial intelligence and introduced transformative applications to almost every scientific field and industry.

Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics

no code implementations29 Nov 2021 Ian T Vidamour, Matthew O A Ellis, David Griffin, Guru Venkat, Charles Swindells, Richard W S Dawidek, Thomas J Broomhall, Nina-Juliane Steinke, Joshaniel F K Cooper, Francisco Maccherozzi, Sarnjeet S Dhesi, Susan Stepney, Eleni Vasilaki, Dan A Allwood, Thomas J Hayward

Devices based on arrays of interconnected magnetic nano-rings with emergent magnetization dynamics have recently been proposed for use in reservoir computing applications, but for them to be computationally useful it must be possible to optimise their dynamical responses.

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