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        Computers / Artificial Intelligence / General

        Showing results 1-10 of 349

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        Moral Codes

        Moral Codes

        Moral Codes

        Designing Alternatives to AI

        by Alan F. Blackwell

        ISBN: 9780262548717

        Publisher: The MIT Press

        Pub Date: August 6, 2024

        Forthcoming from the MIT Press
        The AI Conundrum

        The AI Conundrum

        The AI Conundrum

        Harnessing the Power of AI for Your Organization—Profitably and Safely

        by Caleb Briggs and Rex Briggs

        ISBN: 9780262048996

        Publisher: The MIT Press

        Pub Date: August 6, 2024

        A timely, practical guide to AI—its strengths, weaknesses, and real-world applications—for business professionals and policymakers.
        Artificial Intelligence

        Artificial Intelligence

        Artificial Intelligence

        A Systems Approach from Architecture Principles to Deployment

        by David R. Martinez and Bruke M. Kifle

        ISBN: 9780262048989

        Publisher: The MIT Press

        Pub Date: June 11, 2024

        The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.
        Foundations of Computer Vision

        Foundations of Computer Vision

        Foundations of Computer Vision

        by Antonio Torralba, Phillip Isola and William T. Freeman

        ISBN: 9780262048972

        Publisher: The MIT Press

        Pub Date: April 16, 2024

        An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.
        Bots and Beasts

        Bots and Beasts

        Bots and Beasts

        What Makes Machines, Animals, and People Smart?

        by Paul Thagard

        ISBN: 9780262548540

        Publisher: The MIT Press

        Pub Date: April 2, 2024

        An expert on the mind considers how animals and smart machines measure up to human intelligence.
        The New Fire

        The New Fire

        The New Fire

        War, Peace, and Democracy in the Age of AI

        by Ben Buchanan and Andrew Imbrie

        ISBN: 9780262548489

        Publisher: The MIT Press

        Pub Date: March 5, 2024

        AI is revolutionizing the world. Here's how democracies can come out on top.
        Machine Decision Is Not Final

        Machine Decision Is Not Final

        Machine Decision Is Not Final

        China and the History and Future of Artificial Intelligence

        Edited by Benjamin H. Bratton, Anna Greenspan and Bogna Konior

        ISBN: 9781913029999

        Publisher: Urbanomic

        Pub Date: March 5, 2024

        An interdisciplinary, cross-cultural collection that decenters familiar narratives to provide a fresh perspective on what artificial intelligence is today, and what it might become.
        The AI Playbook

        The AI Playbook

        The AI Playbook

        Mastering the Rare Art of Machine Learning Deployment

        by Eric Siegel

        ISBN: 9780262048903

        Publisher: The MIT Press

        Pub Date: February 6, 2024

        In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it.
        Fairness and Machine Learning

        Fairness and Machine Learning

        Fairness and Machine Learning

        Limitations and Opportunities

        by Solon Barocas, Moritz Hardt and Arvind Narayanan

        ISBN: 9780262048613

        Publisher: The MIT Press

        Pub Date: December 19, 2023

        An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning.
        Perturbations, Optimization, and Statistics

        Perturbations, Optimization, and Statistics

        Perturbations, Optimization, and Statistics

        Edited by Tamir Hazan, George Papandreou and Daniel Tarlow

        ISBN: 9780262549943

        Publisher: The MIT Press

        Pub Date: December 5, 2023

        A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees.
        ‹12345›

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