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  2. A beginner’s guide to AI: The difference between human and ...

    www.aol.com/beginner-guide-ai-difference-between...

    The guide contains articles on (in order published) neural networks, computer vision, natural language processing, algorithms, artificial general intelligence, and the difference between video ...

  3. Elements of AI - Wikipedia

    en.wikipedia.org/wiki/Elements_of_AI

    Elements of AI is a massive open online course (MOOC) teaching the basics of artificial intelligence. [1] The course, originally launched in 2018, is designed and organized by the University of Helsinki and learning technology company MinnaLearn. [2]

  4. Outline of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Outline_of_artificial...

    He has also authored multiple books on artificial intelligence and its potential promise and peril. In December 2012 Kurzweil was hired by Google in a full-time director of engineering position to "work on new projects involving machine learning and language processing". [ 54 ]

  5. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Artificial Intelligence Markup Language (AIML) [11] is an XML dialect [12] for use with Artificial Linguistic Internet Computer Entity (A.L.I.C.E.)-type chatterbots. Planner is a hybrid between procedural and logical languages. It gives a procedural interpretation to logical sentences where implications are interpreted with pattern-directed ...

  6. Investing in artificial intelligence (AI): A beginner’s guide

    www.aol.com/finance/investing-artificial...

    Analysts at International Data Corp. (IDC), a provider of market intelligence, predict that worldwide revenues for the AI market could reach $900 billion by 2026, logging a compound annual growth ...

  7. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

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