Authors: George Rajna
A new paper in Advanced Photonics demonstrates distinct improvements to the inference and generalization performance of diffractive optical neural networks.  A team of researchers from the University of Münster, the University of Oxford and the University of Exeter has built an all-optical neural network on a single chip.  Physicists from Petrozavodsk State University have proposed a new method for oscillatory neural network to recognize simple images. Such networks with an adjustable synchronous state of individual neurons have, presumably, dynamics similar to neurons in the living brain.  Navid Borhani, a research-team member, says this machine learning approach is much simpler than other methods to reconstruct images passed through optical fibers, which require making a holographic measurement of the output. 
Comments: 49 Pages.
[v1] 2019-08-14 02:34:20
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