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  2. IBM Watson - Wikipedia

    en.wikipedia.org/wiki/IBM_Watson

    IBM Watson is a computer system capable of answering questions posed in natural language. [1] It was developed as a part of IBM 's DeepQA project by a research team, led by principal investigator David Ferrucci. [2] Watson was named after IBM's founder and first CEO, industrialist Thomas J. Watson. [3] [4]

  3. Google's AI search overhaul raises 'more questions than ... - AOL

    www.aol.com/finance/googles-ai-search-overhaul...

    New generative AI features will give users more complete and direct answers, offering a conversational overview powered by AI technology. The transition marks an overhaul of Google’s core search ...

  4. This bank tested 90 uses for AI before choosing the top ... - AOL

    www.aol.com/finance/bank-tested-90-uses-ai...

    The two generative AI use cases that Citizens Financial says will go live this year include an enterprise search tool that helps customer service representatives answer questions and a GitHub ...

  5. Perplexity.ai - Wikipedia

    en.wikipedia.org/wiki/Perplexity.ai

    Perplexity AI is an AI-chatbot-powered research and conversational search engine that answers queries using natural language predictive text. [2] [3] Launched in 2022, Perplexity generates answers using the sources from the web and cites links within the text response. [4]

  6. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering. Question answering ( QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language. [1]

  7. Cats on the moon? Google's AI tool is producing misleading ...

    www.aol.com/news/cats-moon-googles-ai-tool...

    When Google researchers in 2021 published a paper called “Rethinking search” that proposed using AI language models as “domain experts” that could answer questions authoritatively — much ...

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