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Synchronised neuro-Memristive Architecture for Reinforced learning Technology

CORDIS · observation · Publication date unknown

Synchronised neuro-Memristive Architecture for Reinforced learning Technology 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 Negat

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recordType

award

status

TERMINATED

region

EU

value

203464.32

unit

EUR