Neural networks for optics and optics for neural networks
Optics and machine learning are natural symbionts. I will present three examples of how these fields can benefit each other based on our recent experimental work:
• optical neural networks and their all-optical training;
• robotic alignment of optical experiments;
• application of machine learning in linear-optical far-field superresolution imaging.
The seminar will be held remotely. To participate in the webinar, please, contact dr Szymon Pustelny (szymon.pustelny@uj.edu.pl) MS Teams Channel: Zakład Fotoniki IF UJ. Link to the channel: https://teams.microsoft.com/l/channel/19%3a3721f0b9286c47c78efdd4f33e6adf7a%40thread.tacv2/Og%25C3%25B3lny?groupId=d4c030cf-1dbb-4300-ad6d-f346f7a2dd08&tenantId=eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb
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