SOURCE-LINKED INTELLIGENCE

Coherent Microcomb-enabled Integrated Photonic Convolution Engine for Energy-Efficient AI

CORDIS · observation · Publication date unknown

Coherent Microcomb-enabled Integrated Photonic Convolution Engine for Energy-Efficient AI With rapid advances of artificial intelligence (AI), conventional electronic processors are constrained by bandwidth and energy efficiency in the post-Moore era, increasingly struggle to serve large-scale, high-concurrency AI tasks within the existing von Neumann-based framework. Leveraging the inherently high bandwidth, multiple dimensions, low latency, and superior energy-efficiency of light, photonic integrated circuits (PICs), on the other hand, are promising to provide a compelling pathway for advanced AI models. To achieve this goal, the main objective of the CoMiPCE research action is to realize a fully integrated photonic convolution engine (PCE) on a scalable silicon platform by combining best‑in‑class devices and processes through hybrid and heterogeneous integration. The CoMiPCE heterogeneously integrates a diverse set of photonic devices on silicon substrates, and co-integrates them with silicon PI

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recordType

award

status

SIGNED

region

EU

value

292118.88

unit

EUR