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Functionalised dense spintronics oscillator networks for neuromorphic computing

Project description

Materialising neuromorphic computing

Neuromorphic computing is inspired by the structure and functioning of the human brain. Unlike traditional computing, which relies on binary logic and serial processing, neuromorphic systems use artificial neurons and synapses to mimic the parallel processing and adaptability of biological neural networks. The EU-funded spiNets project aims to advance neuromorphic computing with the use of spintronic devices that exploit the intrinsic spin of electrons, in addition to their charge, for data storage and transfer. Spintronic devices offer several advances such as the creation of large neural networks due to their nanoscale size, reduced energy consumption and increased speed.

Objective

This project proposes the functionalisation of dense arrays of spintronic nanodevices called magnetic tunnel junctions (MTJs) for neuromorphic computing application. Neuromorphic computing is a field that proposes a novel computing architecture aimed at reducing energy consumption and enhancing computational capabilities compared to conventional computers. It mimics the Human brain where memory and information processing are physically intertwined. One key component is the synapse, which plays a crucial role in enabling the communication between neurons and serving as a dynamic, plastic memory where the strength of connections between neurons is stored. This characteristic allows for tuning these connections in a non-volatile and reversible manner, forming the foundation for intricate learning and memory processes.

For this purpose, the field of spintronics will be employed, focusing on controlling electron spin. Spintronics has gained significant importance in data storage applications, and spintronics nanodevices such as MTJs have recently emerged as promising candidates for neuromorphic computing due to their robustness, multifunctionalities and compatibility with compatibility to metal-oxide-semiconductor (CMOS) technology. They hold strong appeal for the development of artificial synapses and neurons that mimic their biological counterparts due to their low power consumption and fast switching compared to traditional transistors. In addition, the nanoscale size of spintronic devices allows for the creation of large neural networks. The integration of memory and processing in these devices has the potential to revolutionize computational systems and strongly reduce energy consumption while increasing computational speed.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-WIDERA-2023-TALENTS-02

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Coordinator

INESC MICROSISTEMAS E NANOTECNOLOGIAS - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES PARA OS MICROSISTEMAS E AS NANOTECNOLOGIAS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 172 618,56
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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