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Thread: Miscellaneous

  1. #1


    Strong AI Nature - Ben Goertzel

    Published on Sep 23, 2012

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    Can we build a conscious computer?

    Published on Dec 4, 2014

    AI is more than just a bad guy in sci-fi films. How close are we to creating computers that actually think on their own?

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    Paths to human-level AI
    Murray Shanahan, part 1

    Paths to human-level AI
    Murray Shanahan, part 2

    Published on Oct 30, 2015

    Murray Shanahan is Professor of Cognitive Robotics in the Dept. of Computing at Imperial College London, where he heads the Neurodynamics Group. His publications span artificial intelligence, robotics, logic, dynamical systems, computational neuroscience, and philosophy of mind. He was scientific advisor to the film Ex Machina, which was partly inspired by his book “Embodiment and the Inner Life” (OUP, 2010).

    In this talk he describes what he sees as the main obstacles to achieving human-level artificial intelligence given the current state of machine learning, and suggests a number of ways these obstacles might be overcome. These include speculations on a) Geoff Hinton's notion of thought vectors, b) hybrid symbolic-neural approaches, and c) cognitive architectures inspired by Bernard Baars's global workspace theory.

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    Symposium: Algorithms Among Us - Panel "Human-level AI – if, how, and when?"

    Published on Jun 24, 2016

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    The Edge of Artificial Intelligence - Human Level AI - Katja Hofmann

    Published on Aug 5, 2016

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    "Complexity no bar to AI"
    Critics of AI risk suggest diminishing returns to computing means AI will be weak; I argue that this argument breaks if any premises rejected (computer science, transhumanism)

    created: June 1, 2014; modified: November 29, 2016

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  10. #10

    Creating Human-Level AI | Yoshua Bengio

    Published on Jan 29, 2017

    AI pioneer Yoshua Bengio explores paths forward to human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of Life Institute.

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