NooTriX

Human-Level AI Talk by Murray Shanahan

Human-Level AI Talk by Murray Shanahan


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 the two videos below, 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.

Part 1

Part 2

Related Articles

0 Comments

No Comments Yet!

There are no comments at the moment, do you want to add one?

Write a comment

Write a Comment

Free Downloads

You can find our free downloads gathered in the dedicated page. They are grouped by categories:

These materials are brough to you freely with the hope that they will be useful. Please support our action and help us keep running this site and producing even more free content.

Support Free Contents

Materials you can found here are brought to you freely under a creative commons license. It took us time and money to make it. Please donate to help us pay the bills.