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Solar Cells-Inspired Inorganic Semiconductor Synaptic Systems for Low Energy Edge Computing and Visual Learning

CORDIS · observation · Publication date unknown

Solar Cells-Inspired Inorganic Semiconductor Synaptic Systems for Low Energy Edge Computing and Visual Learning The rapidly expanding field of artificial intelligence (AI) and machine learning exposes the limitations of conventional Von Neumann architecture. Neuromorphic computing, inspired by the highly energy efficient functionning of the brain, has emerged as a solution for efficient unsupervised learning, particularly relevant qith the advent of edge computing and visual computing applications. Solar cell-inspired materials, offering persistent photoconductivity allowing to simulate synaptic plasticity, have the potential to revolutionise neuromorphic visual computing. The SOLIS project forms an international consortium of experts from photovoltaics and materials science to explore inorganic thin film materials' potential as artificial visual synapses. These materials, tuneable and stable, promise reliable optically controlled MEMRISTORS suitable for diverse light intensities and wavelenghts. The collaboration, emphasising

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recordType

award

status

SIGNED

region

EU

value

588800

unit

EUR