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  2. Suno AI - Wikipedia

    en.wikipedia.org/wiki/Suno_AI

    Suno AI, or simply Suno, is a generative artificial intelligence music creation program designed to generate realistic songs that combine vocals and instrumentation, [1] or are purely instrumental. Suno has been widely available since December 20, 2023, after the launch of a web application and a partnership with Microsoft , which included Suno ...

  3. 15.ai - Wikipedia

    en.wikipedia.org/wiki/15.ai

    15.ai was designed and created by an anonymous research scientist affiliated with the Massachusetts Institute of Technology known by the alias 15. [38] According to posts made by its developer on Hacker News, 15.ai costs several thousands of dollars per month to operate; they are able to support the project due to a successful startup exit. [39]

  4. Code 128 - Wikipedia

    en.wikipedia.org/wiki/Code_128

    Code 128 is a high-density linear barcode symbology defined in ISO/IEC 15417:2007. [1] ... Online Barcode Generator - Free online barcode generator, 1D and 2D.

  5. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. [5] [7] With models trained on narrow, domain-specific datasets, they were able to generate "visually plausible" images of birds and flowers from text captions like "an all black bird with a distinct thick, rounded bill".

  6. Dual code - Wikipedia

    en.wikipedia.org/wiki/Dual_code

    Type II codes are binary self-dual codes which are doubly even. Type III codes are ternary self-dual codes. Every codeword in a Type III code has Hamming weight divisible by 3. Type IV codes are self-dual codes over F 4. These are again even. Codes of types I, II, III, or IV exist only if the length n is a multiple of 2, 8, 4, or 2 respectively.

  7. Generative adversarial network - Wikipedia

    en.wikipedia.org/wiki/Generative_adversarial_network

    An illustration of how a GAN works. A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [1] [2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3]

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