TRON demonstrates a trainable and reconfigurable optical neural network that combines multi-scattering media with DMD-based matrix multiplication and performs in-situ optimization plus neural architecture search on the optical hardware itself.
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Pith papers citing it
fields
physics.optics 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A review of integrated photonic computing that organizes low- to high-dimensional architectures and argues that exploiting light's full dimensionality offers a path to scalable, energy-efficient information processing.
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TRON: Trainable, architecture-reconfigurable random optical neural networks
TRON demonstrates a trainable and reconfigurable optical neural network that combines multi-scattering media with DMD-based matrix multiplication and performs in-situ optimization plus neural architecture search on the optical hardware itself.
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Integrated photonic computing: towards high-dimensional information processing
A review of integrated photonic computing that organizes low- to high-dimensional architectures and argues that exploiting light's full dimensionality offers a path to scalable, energy-efficient information processing.