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  2. Generative artificial intelligence - Wikipedia

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

    Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [108] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [109] and reweighting training data. [110]

  3. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL·E, DALL·E 2, and DALL·E 3 (pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

  4. 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 ...

  5. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    In December 2022, Midjourney was used to generate the images for an AI-generated children's book that was created over a weekend. Titled Alice and Sparkle, the book features a young girl who builds a robot that becomes self-aware. The creator, Ammaar Reeshi, used Midjourney to generate a large number of images, from which he chose 13 for the ...

  6. Text-to-image model - Wikipedia

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

    Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  7. Ideogram (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Ideogram_(text-to-image_model)

    Glossary. v. t. e. Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The model is capable of generating legible text in the images compared to other text-to-image models. [1][2]

  8. Visual cryptography - Wikipedia

    en.wikipedia.org/wiki/Visual_cryptography

    Visual cryptography is a cryptographic technique which allows visual information (pictures, text, etc.) to be encrypted in such a way that the decrypted information appears as a visual image. One of the best-known techniques has been credited to Moni Naor and Adi Shamir, who developed it in 1994. [1] They demonstrated a visual secret sharing ...

  9. Native Image Generator - Wikipedia

    en.wikipedia.org/wiki/Native_Image_Generator

    Native Image Generator. The Native Image Generator, or simply NGen, is the ahead-of-time compilation (AOT) service of the .NET Framework. It allows a CLI assembly to be pre-compiled instead of letting the Common Language Runtime (CLR) do a just-in-time compilation (JIT) at runtime. In some cases the execution will be significantly faster than ...