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  2. Stochastic Neural Analog Reinforcement Calculator - Wikipedia

    en.wikipedia.org/wiki/Stochastic_neural_analog...

    The Stochastic Neural Analog Reinforcement Calculator ( SNARC) is a neural-net machine designed by Marvin Lee Minsky. [1] Prompted by a letter from Minsky, George Armitage Miller gathered the funding for the project from the Air Force Office of Scientific Research in the summer of 1951 with the work to be carried out by Minsky, who was then a ...

  3. Timeline of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_artificial...

    The method would be developed further by Gottfried Leibniz in the 17th century. [15] ~1500. Paracelsus claimed to have created an artificial man out of magnetism, sperm and alchemy. [16] ~1580. Rabbi Judah Loew ben Bezalel of Prague is said to have invented the Golem, a clay man brought to life.

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...

  5. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    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] Unlike the earlier inception score (IS), which evaluates only the distribution of generated images, the FID compares the distribution of generated ...

  6. U-Net - Wikipedia

    en.wikipedia.org/wiki/U-Net

    U-Net is a convolutional neural network that was developed for biomedical image segmentation at the Computer Science Department of the University of Freiburg. [1] The network is based on a fully convolutional neural network [2] whose architecture was modified and extended to work with fewer training images and to yield more precise segmentation.

  7. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    Kernel (image processing) In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels (including ...

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