Self-supervised AI learns physics to reconstruct microscopic images from holograms

Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data.

Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data.

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Computer Sciences

News on Artificial Intelligence and Machine Learning

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