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embodied intelligence

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Lecture 9: Towards a theory of intelligence

This lecture, which I hosted at the the University Carlos III (Madrid, Spain), suggests principles and design guidelines for the development of embodied intelligent systems that are more similar to animal-like intelligence than what has been proposed so far. How to build a self-organizing embodied intelligence?

Lecture 8-II: Education and Industry Session

This lecture hosted by Prof. Samia Nefti-Meziani from the University of Salford, Manchester, UK, is about higher education and industrial impact of the ‘ShanghAI paradigm’. You should not be surprised to see early glimpses of the next industrial revolution enabled by intelligent machines in Manchester – this was the iconic example of industrial city during the very first industrial revolution.

“ITN Marie Curie Network SMART-E: Advanced Robotics for Sustainable Manufacturing in Europe” by  Samia Nefti-Meziani

by   -   March 14, 2014

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The lay notion of how human communication works is, basically, that we exchange packages of information that are encoded and then decoded in our heads using language. But it just takes a little observation to see that this “computer metaphor” just doesn’t apply to the human way of communicating. We can’t reduce communication to a transfer of abstract information, and the same happens to be true of human-machine communication if we expect it to be of any use.

Lecture 8-I: Ontogenetic development: From locomotion to cognition

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In this lecture, hosted at the University Carlos III of Madrid in Spain, I show how it is possible to ground ‘understanding’ on data streams coming from the physical interaction of an agent in the environment, and discuss the many open issues that remain. For example, setting information theory in an embodied framework is challenging, but the road ahead looks promising. So, what’s the link between locomotion to cognition? Is there one?

by   -   March 7, 2014

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Statue of Alan Turing. Photo credit: Neil Crosby

In the last few days we’ve seen a spate of headlines like 2029: the year when robots will have the power to outsmart their makers, all occasioned by an Observer interview with Google’s newest director of engineering Ray Kurzweil.

Much as I respect Kurzweil’s achievements as an inventor, I think he is profoundly wrong.

by   -   March 3, 2014

This week we publish the seventh of the ShanghAI Lectures 2013 Edition on Robohub. You can learn more about the ShanghAI lectures here.

Lecture 7 – Design principles of intelligent systems

Lecture07SlidesFabShortsucfailjpgThis lecture, which I hosted at the University Carlos III of Madrid, Spain, looks at the foundational issues and the successes and failures of AI from a critical perspective.

by and   -   February 25, 2014

When IBM’s Watson supercomputer triumphed over two top Jeopardy champions in February 2011, the media buzzed with talk of artificial intelligence (AI), just as it had fourteen years earlier when Watson’s predecessor, IBM’s Deep Blue, won a match with world chess champion Garry Kasparov. Bloggers, journalists, and radio hosts were asking a question as old as the field of computer science itself: When will computing machines surpass human intelligence?

by and   -   February 18, 2014

digital_mind_body_intelligenceWestern philosophy has traditionally separated mind from matter and brain from body. In recent years, however, cognitive scientists have turned the assumption on its head that we can study the mind based on the brain alone.



Halodi Robotics’ EVEr3: A Full-size Humanoid Robot
May 13, 2019


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