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Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
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Optical system uses diffractive processors to achieve large-scale nonlinear computation

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Subscribe to our ...
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Massively parallel implementation of nonlinear functions using an optical processor

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
Optics

UCLA develops optical computing for multiplexed data processing and encryption

Team led by Aydogan Ozcan presents reconfigurable optical network for multi- dimensional functions. Artistic depiction of a diffractive optical processor. Engineers at the University of California, ...