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  2. KATSU - Wikipedia

    en.wikipedia.org/wiki/KATSU

    Graffiti Drone created by KATSU. After experimentation with quadcopter drones and in collaboration with FAT Lab member, Becky Stern, KATSU developed a prototype mountable remote sprayer- the resultant device was dubbed the Graffiti Drone. A press release from The Hole Gallery the described the process of its refinement as testing with "weight ...

  3. Generative artificial intelligence - Wikipedia

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

    Generative AI systems such as MusicLM [56] and MusicGen [57] can also be trained on the audio waveforms of recorded music along with text annotations, in order to generate new musical samples based on text descriptions such as a calming violin melody backed by a distorted guitar riff.

  4. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    In the 2020s, text-to-image models, which generate images based on prompts, became widely used, marking yet another shift in the creation of AI generated artworks. [ 2 ] In 2021, using the influential large language generative pre-trained transformer models that are used in GPT-2 and GPT-3 , OpenAI released a series of images created with the ...

  5. 13 Ways To Use AI To Become a Better Writer - AOL

    www.aol.com/13-ways-ai-become-better-144100048.html

    6. Explain complex topics in new ways. Generative AI can even help you better understand the topics you’re writing about, especially if the tool you’re using is connected to the internet.

  6. 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.

  7. Handwriting recognition - Wikipedia

    en.wikipedia.org/wiki/Handwriting_recognition

    Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices.

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