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  2. Larry Tesler - Wikipedia

    en.wikipedia.org/wiki/Larry_Tesler

    From there, the two developed the basic copy and paste function, now a standard feature in computing. [4] Tesler also established the idea that computer interfaces should be modeless, where all actions are available to a user at all times, rather than modal, requiring the user to enter a specific mode to perform them. Gypsy was programmed to ...

  3. FaceApp - Wikipedia

    en.wikipedia.org/wiki/FaceApp

    FaceApp is a photo and video editing application for iOS and Android developed by FaceApp Technology Limited, a company based in Cyprus. [1] The app generates highly realistic transformations of human faces in photographs by using neural networks based on artificial intelligence.

  4. Text-to-image model - Wikipedia

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

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first 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.

  5. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Typical scenarios include the analysis of images using object recognition or face recognition techniques, or the analysis of video for scene recognizing scenes, objects or faces. AI-based media analysis can facilitate media search, the creation of descriptive keywords for content, content policy monitoring (such as verifying the suitability of ...

  6. The Only Keyboard Shortcut List You’ll Ever Need - AOL

    www.aol.com/only-keyboard-shortcut-list-ll...

    COMMAND. ACTION. Ctrl/⌘ + C. Select/highlight the text you want to copy, and then press this key combo. Ctrl/⌘ + F. Opens a search box to find a specific word, phrase, or figure on the page

  7. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    The input is an RGB image of the face, scaled to resolution , and the output is a real vector of dimension 4096, being the feature vector of the face image. In the 2014 paper, [ 13 ] an additional fully connected layer is added at the end to classify the face image into one of 4030 possible persons that the network had seen during training time.

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