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Projects: Projects for Investigator
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%;
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 June 2025
Duration 45 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%)
Web Site
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)
Final Report (none)
Added to Database 22/11/21