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  2. 15 Ways Businesses Can Use AI to Get More Productive & Innovative

    www.aol.com/15-ways-businesses-ai-more-125700537...

    AI-powered tools can use current and historical data to create predictive models for the future. You can use this data to manage inventory, predict customer behavior, and reduce future risk. The ...

  3. Meet the content creators harnessing AI —and how they use it ...

    www.aol.com/meet-content-creators-harnessing-ai...

    A video that would take six hours to make before using AI now takes about an hour with it. It also saves him on hiring freelancers. In the past, he’d invest around $300 per video between ...

  4. Adobe needed AI ideas fast. CFO Dan Durn shares how a ... - AOL

    www.aol.com/finance/adobe-needed-ai-ideas-fast...

    Adobe needed AI ideas fast. CFO Dan Durn shares how a hackathon sparked 100 ideas they whittled down to 5 winners. Sheryl Estrada. October 19, 2023 at 7:07 AM. Gabby Jones/Bloomberg via Getty Images.

  5. 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.

  6. Computational creativity - Wikipedia

    en.wikipedia.org/wiki/Computational_creativity

    Edmond de Belamy, an artwork generated by a generative adversarial network. Computational creativity (also known as artificial creativity, mechanical creativity, creative computing or creative computation) is a multidisciplinary endeavour that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, and the arts (e.g., computational art as part ...

  7. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]