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  2. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. Resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.

  3. Timeline of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_artificial...

    The first demonstration of the Logic Theorist (LT) written by Allen Newell, Cliff Shaw and Herbert A. Simon (Carnegie Institute of Technology, now Carnegie Mellon University or CMU). This is often called the first AI program, though Samuel's checkers program also has a strong claim.

  4. Wikipedia:Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Artificial...

    AI images and German Wikipedia, results of a meeting; A Battle for Reality, video essay on AI images and Wikipedia; Wikimedia Commons AI, a rejected proposal for a new Wikimedia sister project aimed at establishing a clear distinction between human-generated content and content produced by artificial intelligence

  5. Résumé parsing - Wikipedia

    en.wikipedia.org/wiki/Résumé_parsing

    Resume parsers analyze a resume, extract the desired information, and insert the information into a database with a unique entry for each candidate. [1] Once the resume has been analyzed, a recruiter can search the database for keywords and phrases and get a list of relevant candidates.

  6. Hundreds of AI-written books flood Amazon - AOL

    www.aol.com/hundreds-ai-written-books-flood...

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  7. Artificial Intelligence: A Modern Approach - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...

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