Trefzer, Martin Albrecht orcid.org/0000-0002-6196-6832 and Harkin, Jim (2024) Bridging Nature and Artificial Intelligence for Smart Electronics Technology. Scientia.
Abstract
The ever-developing world of artificial intelligence (AI) stands at the tip of a transformative breakthrough. Professor Martin Trefzer from the University of York and Professor Jim Harkin from Ulster University have introduced a revolutionary approach to neural network design. They work on an electronic system based on AI that forms the basis of the cross-disciplinary project called Nervous Systems, which aims to build electronic neuromorphic devices with an artificial intelligence system mirroring the adaptability and responsiveness of biological neural systems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | nature based solutions,smart sensors,Bio-inspired Hardware,nervous system,neuromorphic hardware,Fault Tolerance |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 05 Aug 2024 08:40 |
Last Modified: | 18 Mar 2025 00:04 |
Published Version: | https://doi.org/10.33548/SCIENTIA1042 |
Status: | Published |
Publisher: | Scientia |
Identification Number: | 10.33548/SCIENTIA1042 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:215687 |
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Filename: Professor-Martin-Trefzer.pdf
Description: Bridging Nature and Artificial Intelligence for Smart Electronics Technology
Licence: CC-BY 2.5