Murray Shanahan

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Paths to Human-level AI | Murray Shanahan | Aldebaran Paris (Part 1)

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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Paths to Human-level AI | Murray Shanahan | Aldebaran Paris (Part 2)

Published on Oct 30, 2015

 

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Murray Shanahan, The Future of Artificial Intelligence: The Register Summer Lectures, 2016

Published on Jul 13, 2016

Prof. Murray Shanahan of Imperial College, joined us on June 28, to explain explain just how close we are to computers that can out think humans. Even though the computers can beat us at Chess and Go, they still struggle with Montezuma's revenge.