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  2. Artificial Intelligence: A Guide for Thinking Humans - Wikipedia

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

    Artificial Intelligence: A Guide for Thinking Humans is a 2019 nonfiction book by Santa Fe Institute professor Melanie Mitchell. [1] The book provides an overview of artificial intelligence (AI) technology, and argues that people tend to overestimate the abilities of artificial intelligence.

  3. 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 ...

  4. List of programming languages for artificial intelligence

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

    Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [ 2 ] Its popularity results in a vast ecosystem of libraries , including for deep learning , such as PyTorch , TensorFlow , Keras , Google JAX .

  5. Artificial Intelligence (book) - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence_(book)

    Artificial Intelligence (AI) is a university textbook on artificial intelligence, written by Patrick Henry Winston. It was first published in 1977, and the third edition of the book was released in 1992. [1] It was used as the course textbook for MIT course 6.034. [2]

  6. A Human Algorithm - Wikipedia

    en.wikipedia.org/wiki/A_Human_Algorithm

    A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are is a 2019 non-fiction book by American international human rights attorney Flynn Coleman. It argues that, in order to manage the power shift from humans to increasingly advanced artificial intelligence, it will be necessary to instill human values into artificial intelligence, and to proactively develop oversight mechanisms.

  7. The Master Algorithm - Wikipedia

    en.wikipedia.org/wiki/The_Master_Algorithm

    Throughout the book, it is suggested that each different tribe has the potential to contribute to a unifying "master algorithm". Towards the end of the book the author pictures a "master algorithm" in the near future, where machine learning algorithms asymptotically grow to a perfect understanding of how the world and people in it work. [1]

  8. The Alignment Problem - Wikipedia

    en.wikipedia.org/wiki/The_Alignment_Problem

    The Alignment Problem: Machine Learning and Human Values is a 2020 non-fiction book by the American writer Brian Christian.It is based on numerous interviews with experts trying to build artificial intelligence systems, particularly machine learning systems, that are aligned with human values.

  9. 9 Algorithms That Changed the Future - Wikipedia

    en.wikipedia.org/wiki/9_Algorithms_that_Changed...

    One reviewer said the book is written in a clear and simple style. [1] A reviewer for New York Journal of Books suggested that this book would be a good complement to an introductory college-level computer science course. [2] Another reviewer called the book "a valuable addition to the popular computing literature". [3]

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