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  2. Generative artificial intelligence - Wikipedia

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

    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. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  3. IBM/Google Cloud Computing University Initiative - Wikipedia

    en.wikipedia.org/wiki/IBM/Google_Cloud_Computing...

    With funding help from the U.S. National Science Foundation, the cloud computing initiative provided assistance to hundreds of university scientists working on research projects. [3] By 2011, Google and IBM were completing the program since high-performance cloud computing clusters had become widely available to researchers at reasonable costs. [4]

  4. Google Brain - Wikipedia

    en.wikipedia.org/wiki/Google_Brain

    Google Brain was a deep learning artificial intelligence research team that served as the sole AI branch of Google before being incorporated under the newer umbrella of Google AI, a research division at Google dedicated to artificial intelligence.

  5. DataStax - Wikipedia

    en.wikipedia.org/wiki/DataStax

    On July 18, 2023, the company announced a partnership with Google to make semantic search available in its Astra DB cloud database for developers building generative AI applications. [20] On September 13, 2023, DataStax launched the LangStream open source project, which works with Astra DB and supports vector databases including Milvus and ...

  6. Meet the 5 Generative AI Stocks on the Cutting Edge of ... - AOL

    www.aol.com/meet-5-generative-ai-stocks...

    E-commerce giant Amazon (NASDAQ: AMZN) may not be an obvious generative AI winner at first glance, but it operates Amazon Web Services (AWS), the world's largest cloud-computing platform, making ...

  7. Generative adversarial network - Wikipedia

    en.wikipedia.org/wiki/Generative_adversarial_network

    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 ]

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