Projects
Projects: Projects for Investigator |
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| Reference Number | EP/V028189/1 | |
| Title | Skyrmionics for Neuromorphic Technologies | |
| Status | Started | |
| Energy Categories | Not Energy Related 90%; Energy Efficiency(Industry) 10%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | BIOLOGICAL AND AGRICULTURAL SCIENCES (Biological Sciences) 25%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr C Moutafis Computer Science University of Manchester |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 October 2021 | |
| End Date | 30 September 2024 | |
| Duration | 36 months | |
| Total Grant Value | £703,710 | |
| Industrial Sectors | Information Technologies | |
| Region | North West | |
| Programme | NC : ICT | |
| Investigators | Principal Investigator | Dr C Moutafis , Computer Science, University of Manchester (99.997%) |
| Other Investigator | Professor T Thomson , Computer Science, University of Manchester (0.001%) Dr V Pavlidis , Computer Science, University of Manchester (0.001%) Dr A Faisal , Dept of Bioengineering, Imperial College London (0.001%) |
|
| Industrial Collaborator | Project Contact , IBM T.J. Watson Research Centre, USA (0.000%) Project Contact , ETH Zurich, Switzerland (0.000%) Project Contact , Paul Scherrer Institute (PSI), Switzerland (0.000%) Project Contact , Mixed Unit of Physics CNRS/Thales (0.000%) |
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| Web Site | ||
| Objectives | ||
| Abstract | In today's world of pervasive Information Technology (IT), there is a pressing need to develop novel computing paradigms to move beyond current architectures with the goal of achieving intelligent computing with superior efficiency. Modern, conventional, computers operate in a very different manner to that of the human brain. In stark contrast, the main building blocks of the human brain are neurons (the computing elements) and synapses (the adaptive memory elements) and neurons are massively interconnected with synapses. Since learning is intricately connected to synaptic behavior, this project seeks to build next-generation artificial synapses In particular, we will explore the potential of non-volatile artificial synapses, based on nanoscale magnets, for energy-efficient brain-inspired operations, also known as neuromorphic computing. In a market with products requiring an abundance of sensors at the edge (e.g. mobiles or wearables like smart watches), there is a recognised need for ultra-low power and always-on sensory data processing. Neuromorphic hardware is one of the most promising routes for Artificial Intelligence (AI) applications. We propose to demonstrate that nanoscale skyrmionics synapses (that use nanoscale whirling vortex-like magnetic states called skyrmions as information carriers) are ideal for energy-efficient smart edge-computing devices. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 22/11/21 | |
