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    Ozcan Labs, UCLA Publish Method on Machine Learning Using Continuum of Wavelengths

    Article obtained from Photonics RSS Feed.

    A UCLA research team led by Aydogan Ozcan has been developing a diffractive deep neural network, a machine that combines optical diffraction deep learning with light-matter interaction. The goal for the team was to engineer diffractive surfaces that collectively perform optical computations at the speed of light.

    Prototype of a broadband diffrative neural network. Courtesy of: Ozcan Research Group, UCLA.
    Ozcan, a professor of electrical and computer engineering at UCLA, noted that the team’s previous diffractive network models were developed to process information through a single wavelength channel, therefore requiring a monochromatic and coherent illumination source.

    “The new results that we have published this…

    Dec, 04 2019 |

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