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15.ai was a free non-commercial web application that used artificial intelligence to generate text-to-speech voices of fictional characters from popular media. [1] Created by an artificial intelligence researcher known as 15 during their time at the Massachusetts Institute of Technology, the application allowed users to make characters from video games, television shows, and movies speak ...
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.
Tangerine, a 22-year-old student artist, was the first Hong Kong artist using graffiti art to promote the awareness of Ai Weiwei among the island's population, by spray-painting Ai's image, with the slogan: "Who's afraid of Ai Weiwei", onto street pavement and building wall using a stencil, resulting in Hong Kong police serious crime squad conducting a criminal damage investigation against her ...
Generative AI has been used in video game production beyond imagery, especially for level design (e.g., for custom maps) and creating new content (e.g., quests or dialogue) or interactive stories in video games. [159] [160] AI has also been used in the literary arts, [161] such as helping with writer's block, inspiration, or rewriting segments.
Virtual graffiti consists of virtual or digital media applied to public locations, landmarks or surfaces. Virtual graffiti applications utilize augmented reality and ubiquitous computing to anchor virtual graffiti to physical landmarks or objects in the real world. The virtual content can then be viewed through digital devices.
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
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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.