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  2. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    AI-driven image generation tools have been heavily criticized by artists because they are trained on human-made art scraped from the web." [7] The second is the trouble with copyright law and data text-to-image models are trained on. OpenAI has not released information about what dataset(s) were used to train DALL·E 2, inciting concern from ...

  3. Generative artificial intelligence - Wikipedia

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

    Artificial intelligence. Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3][4] Generative AI models learn the patterns and structure of their input training data and then generate ...

  4. Multimodal learning - Wikipedia

    en.wikipedia.org/wiki/Multimodal_learning

    t. e. Multimodal learning, in the context of machine learning, is a type of deep learning using multiple modalities of data, such as text, audio, or images. In contrast, unimodal models can process only one type of data, such as text (typically represented as feature vectors) or images. Multimodal learning is different from combining unimodal ...

  5. Applications of artificial intelligence - Wikipedia

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

    AI in architecture has created a way for architects to create things beyond human understanding. AI implementation of machine learning text-to-render technologies, like DALL-E and stable Diffusion, gives power to visualization complex. [410] AI allows designers to demonstrate their creativity and even invent new ideas while designing.

  6. Knowledge representation and reasoning - Wikipedia

    en.wikipedia.org/wiki/Knowledge_representation...

    Many of the early approaches to knowledge represention in AI used graph representations and semantic networks, similar to knowledge graphs today. In such approaches, problem solving was a form of graph traversal [2] or path-finding, as in the A* search algorithm. Typical applications included robot plan-formation and game-playing.

  7. Google DeepMind - Wikipedia

    en.wikipedia.org/wiki/Google_DeepMind

    v. t. e. Google DeepMind Technologies Limited is a British-American artificial intelligence research laboratory which serves as a subsidiary of Google. Founded in the UK in 2010, it was acquired by Google in 2014 [6] and merged with Google AI 's Google Brain division to become Google DeepMind in April 2023. The company is based in London, with ...

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