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SpinAge

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Cerrado

Weighted Spintronic Nano Oscillator based Neuromorphic Computing System Assisted...

Weighted Spintronic Nano Oscillator based Neuromorphic Computing System Assisted by laser for Cognitive Computing The brain is a highly complex, high performance and low energy computing system due to its massive parallelism and intertwined network, which outperforms the current computers by orders of magnitudes, especially for cognitive comp... ver más

30/06/2025

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

AARHUS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-05-28

FETOPEN-01-2018-2019-2020: FET-Open Challenging Current Thinki...

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

8 Participantes

1.12M€ | Lider

GENOMICA

989.75K€ | Participante

UCC

413.62K€ | Participante

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Duración del proyecto: 61 meses Fecha Inicio: 2020-05-28
Fecha Fin: 2025-06-30

Líder del proyecto

AARHUS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The brain is a highly complex, high performance and low energy computing system due to its massive parallelism and intertwined network, which outperforms the current computers by orders of magnitudes, especially for cognitive computing applications. A large effort has been made into understanding the computing and mimicking the brain into an artificial implementation, so-called neuromorphic computing that has received much attention thanks to the advances in novel nanoscale technologies. The current implementation of the neuromorphic computing systems (NCS) using Complementary Metal-Oxide-Semiconductor (CMOS) technologies has 5-6 orders of magnitude lower performance (operation/sec/Watt/cm3) compared to the brain. Spintronic devices, using the spin of the electron instead of its charge, have been considered one of the most promising approaches for implementing not only memories but also NCSs leading to a high density, high speed, and energy-efficiency. The main goal of SpinAge is to realize a novel NCS enabling large-scale development of brain-inspired devices outclassing the performance of current computing machines. This will be achieved by the novel structures using spintronics and memristors, on-chip laser technology, nano electronics and finally advanced integration of all these technologies. We expect this unprecedented combination of emerging technologies will lead to at least 4-5 orders of magnitude better performance than the state-of-the-art CMOS-based NCSs. The approach taken in SpinAge is to implement synaptic neurons using novel nanoscale weighted spin-based nano-oscillators, assisted by a low-energy laser pulse irradiation from an integrated plasmonic laser chip, integrated all with the CMOS interfacing electronics for a proof-of-concept of a 16x16 NCS for cognitive computing applications. Our breakthrough platform technology will demonstrate EU leadership of advanced neuromorphic computing.

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