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COmplex media and METasurfaces for scalable and efficient photonic neural networks

CORDIS · observation · Publication date unknown

COmplex media and METasurfaces for scalable and efficient photonic neural networks With the advent of large language models (e.g. ChatGPT), the use of artificial neural networks has become ubiquitous in our society. However, the energy consumption is currently doubling every two months, leading to an unsustainable growth. This is primarily caused by the extensive interconnectivity that characterizes neural networks’ hardware architecture, which are notably challenging and power-consuming to implement in electronics. Photonics offers a promising solution, enabling faster operations with significantly reduced energy consumption. Fully-connected layers are already available in several photonic platforms, including complex media, one of the applicant’s main areas of expertise. However, optics still lacks a fundamental building block for implementing neural networks with advanced learning capabilities: a nonlinear activation layer that is non-polynomial and able to cascade its signal to subse

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recordType

award

status

SIGNED

region

EU

value

193643.28

unit

EUR