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Synchronised neuro-Memristive Architecture for Reinforced learning Technology

Description du projet

L’informatique neuromorphique dotée de «neurones» capables d’oscillations synchronisées

L’informatique neuromorphique utilise des approches matérielles et logicielles pour simuler la structure et la fonction du cerveau humain. L’IA a beau être un domaine bien développé, l’émulation des neurones et des synapses avec du matériel est un champ d’application balbutiant. Phénomène courant dans le cerveau, les oscillations électriques sont associées à un éventail de processus cognitifs. Grâce au soutien du programme Actions Marie Skłodowska-Curie, le projet SMART exploitera la résistance différentielle négative (RDN), une propriété permettant à certains composants de produire des oscillations en réponse à l’application de pics électriques, pour émuler le comportement des neurones biologiques. De minces films d’un nouveau matériau démontrant la RDN seront intégrés dans des réseaux neuronaux oscillatoires afin de faire la démonstration de tâches informatiques complexes.

Objectif

Rapid progress in the regime of Artificial Intelligence and Internet-of-Things has enthused the development of fast and energy-efficient hardware to support future computing needs. One of the most prominent solutions is the deployment of cross-disciplinary resources for mimicking the performance of a Human Brain, also known as neuromorphic computing. It relies on electronic components that could replicate the functioning of neurons and synapses. Designing such novel electronics needs the development of cost-effective, fast and reliable materials with tunable functionality. A fundamental understanding of these materials will pave the foundation of innovative device designs and strategies for their large-scale integration for neuromorphic architectures. In this context, the proposed project intends to deliver artificial neurons by developing thin-films of a novel material (TbMnO3) that is capable of demonstrating a Negative Differential Resistance (NDR). The idea is to utilise the fundamental understanding of multi-dimensional (electrical, optical, mechanical and magnetic) control of NDR which is not explored yet and is possible in TbMnO3. NDR enables a two-terminal device to display self-oscillations due to applied electrical spikes. The spiking electrical currents could be used to govern the behaviour of these oscillations and emulating the leaky, integrate, and fire behaviour of biological neurons. Once such a performance is achieved, the device will further be integrated into oscillatory neural networks array for demonstration of complex computing tasks such as image recognition and imitating human behaviour.

The project will unite the applicant’s expertise in synaptic devices and materials engineering with the extensive experience of the host-labs in thin-film and neuromorphic devices. Importantly, the project will warranty catapulting the applicant’s international recognition as an independent researcher and will improve his career prospects.

Coordinateur

RIJKSUNIVERSITEIT GRONINGEN
Contribution nette de l'UE
€ 203 464,32
Adresse
Broerstraat 5
9712CP Groningen
Pays-Bas

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Région
Noord-Nederland Groningen Overig Groningen
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
Aucune donnée

Partenaires (1)