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The use of the word "generative" in the discussion of art has developed over time. The use of "Artificial DNA" defines a generative approach to art focused on the construction of a system able to generate unpredictable events, all with a recognizable common character.
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.
Ai-Da is described by its creator as "the world's first ultra-realistic humanoid robot" artist. [ 1 ] [ 2 ] Completed in 2019, Ai-Da is an artificial intelligence robot that makes drawings, painting, and sculptures.
Generative design in sustainable design is an effective approach addressing energy efficiency and climate change at the early design stage, recognizing buildings contribute to approximately one-third of global greenhouse gas emissions and 30%-40% of total building energy use. [15]
Casey Edwin Barker Reas (born 1972), also known as C. E. B. Reas or Casey Reas, [1] is an American artist whose conceptual, procedural and minimal artworks explore ideas through the contemporary lens of software.
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence.The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [1]
Theories of aesthetic response [1] or functional theories of art [2] are in many ways the most intuitive theories of art. At its base, the term "aesthetic" refers to a type of phenomenal experience, and aesthetic definitions identify artworks with artifacts intended to produce aesthetic experiences.
An alternative division defines these symmetrically as: a generative model is a model of the conditional probability of the observable X, given a target y, symbolically, (=) [2]