Project description
Energy-efficient bio-inspired devices accelerate route to brain-like computing
Neuro-inspired computing employs technologies that enable brain-inspired computing hardware for more efficient and adaptive intelligent systems. Mimicking the human brain and nervous system, these computing architectures are excellent candidates for solving complex and large-scale associative learning problems. The EU-funded NeurONN project will showcase a novel and alternative neuromorphic computing paradigm based on energy-efficient devices and architectures. In the proposed neuro-inspired computing architecture, information will be encoded in the phase of coupled oscillating neurons or oscillatory neural networks. The VO2 metal-insulator transition devices will emulate biological neurons and are expected to be 250 times more efficient that state-of-the-art digital CMOS-based oscillators. Their 2D memristors that will emulate synapses are expected to be 330 times more efficient than the state-of-the-art.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
75794 Paris
France
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Participants (6)
8803 Rueschlikon
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80686 Munchen
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28006 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
41004 Sevilla
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75013 Paris
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PE27 5JL St Ives
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.