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  2. Text-to-image model - Wikipedia

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

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...

  3. Synthesia (company) - Wikipedia

    en.wikipedia.org/wiki/Synthesia_(company)

    Global. Products. Synthetic media, Artificial Intelligence, Video editing software. Number of employees. c. 200 [ 1] (2023) Website. www .synthesia .io. Synthesia is a synthetic media generation company that develops software used to create AI generated video content. It is based in London, England .

  4. Generative artificial intelligence - Wikipedia

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

    Artificial general intelligence – Human-level or stronger AI for a wide range of tasks. Artificial imagination – Artificial simulation of human imagination. Artificial intelligence art – Machine application of knowledge of human aesthetic expressions. Artificial life – Field of study.

  5. Manage your AOL Calendar, create and use folders, use keyboard shortcuts to get through your mailbox faster. ... Keep your inbox clutter-free with automated tools. See all emails based on topic (e ...

  6. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    Artificial intelligence art is visual artwork created through the use of an artificial intelligence (AI) program. [ 1] Artists began to create artificial intelligence art in the mid to late 20th century, when the discipline was founded. Throughout its history, artificial intelligence art has raised many philosophical concerns related to the ...

  7. QR code - Wikipedia

    en.wikipedia.org/wiki/QR_Code

    The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [5] [6] [7] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [8] the pattern of position detection was found and determined by applying the least-used ratio (1:1:3 ...

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