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  2. Generative adversarial network - Wikipedia

    en.wikipedia.org/wiki/Generative_adversarial_network

    GAN has been used for generating synthetic medical images, such as MRI and PET images to address this challenge. [74] GAN can be used to detect glaucomatous images helping the early diagnosis which is essential to avoid partial or total loss of vision. [75] GANs have been used to create forensic facial reconstructions of deceased historical ...

  3. Gallium nitride - Wikipedia

    en.wikipedia.org/wiki/Gallium_nitride

    Gallium nitride (Ga N) is a binary III/V direct bandgap semiconductor commonly used in blue light-emitting diodes since the 1990s. The compound is a very hard material that has a Wurtzite crystal structure.

  4. Gallium nitride nanotube - Wikipedia

    en.wikipedia.org/wiki/Gallium_nitride_nanotube

    Instead, a catalyst- free high temperature process is used, which requires certain conditions. One of these conditions was high heat. The nanotube growth for c-GaN nanotubes was done at around 1600 degrees Celsius (200 degrees higher than the conditions required to grow h- GaN nanotubes), and was continuously increased throughout the process.

  5. Wasserstein GAN - Wikipedia

    en.wikipedia.org/wiki/Wasserstein_GAN

    The original GAN method is based on the GAN game, a zero-sum game with 2 players: generator and discriminator. The game is defined over a probability space (,,), The generator's strategy set is the set of all probability measures on (,), and the discriminator's strategy set is the set of measurable functions : [,].

  6. Indium gallium nitride - Wikipedia

    en.wikipedia.org/wiki/Indium_gallium_nitride

    InGaN blue LED (380–405 nm) Spectrum of a white-light LED where GaN or InGaN blue source pumps Ce:YAG phosphor. Indium gallium nitride (InGaN, In x Ga 1−x N) is a semiconductor material made of a mix of gallium nitride (GaN) and indium nitride (InN). It is a ternary group III/group V direct bandgap semiconductor.

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  8. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model. [2] [3] The FID compares the distribution of generated images with the distribution of a set of real images (a "ground truth" set).

  9. Common sleep medication may prevent brain from clearing 'waste'

    www.aol.com/common-sleep-medication-may-prevent...

    Past studies report that not getting enough sleep each night can increase a person’s risk for several health concerns, including brain-related conditions, such as cognitive decline and dementia.