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Digital optical computing platform for neural networks

CORDIS · observation · Publication date unknown

Digital optical computing platform for neural networks Artificial Intelligence - humanity’s new frontier - has dramatically progressed during the past decade due to the introduction of deep learning. Deep learning applications usually require vast amounts of computing resources but microelectronics are encountering physically fundamental bottlenecks in speed, energy consumption, heating, and interconnect delay, which can no longer be resolved by scaling. The end of Moore’s law urgently calls for the introduction of new devices, new integration technologies, and new architectures to efficiently accelerate deep learning applications. Recently, optical neural networks (ONNs) based on photonic integrated circuits have shown great potential as an emerging computing architecture beyond von Neumann and Moore to overcome the bottlenecks in their microelectronics counterparts. Yet the ONN concepts and demonstrations so far are encountering severe obs

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recordType
award
status
SIGNED
region
EU
value
3015883.25
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.