Miscellaneous

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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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Article "Does AI need to be magical?"

by craft ai team
July 12, 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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Article "Understanding the four types of AI, from reactive robots to self-aware beings"

by Arend Hintze
November 14, 2016

 

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"Vicarious wants to create human-level Artificial Intelligence"

May 12, 2016

 

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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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The symbiotic nature of Artificial General Intelligence and Narrow AI

Published on Sep 22, 2017

Kimera System’s Co-founder, Nick Gilman explains the difference between Artificial General Intelligence and Narrow AI, and gives insight into the codependent nature of both.

 

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Article "To Keep AI from 'Eating a Table,' Scientists Make It Read Wikipedia"

by Dan Robitzski
September 26, 2017

 

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Article "Human-level AI: how far are we?"

by George Zarkadakis
October 22, 2017

 

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Symbiotic AI Using wearable devices to teach computers how to live in a human world

Published on Oct 25, 2017

 

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literatureandlatte.com

 

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MIT 6.S099: Artificial General Intelligence - agi.mit.edu

 

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Article "AI news: Oxford University scientists synthesise human-like thoughts in machines"
ARTIFICIAL INTELLIGENCE (AI) is evolving, with Oxford University researchers synthesising human-like thinking in machines.

by Tom Fish
May 31, 2019

 

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Article "Computers Evolve a New Path Toward Human Intelligence"
Neural networks that borrow strategies from biology are making profound leaps in their abilities. Is ignoring a goal the best way to make truly intelligent machines?

by Matthew Hutson
November 6, 2019

Kenneth Stanley

 

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The biological path toward AGI (Matt Taylor's talk from UCSC Silicon Valley Meetup Jan 2020)

Jan 21, 2020

Presentation given by Matt Taylor of Numenta at the "Towards AGI" Meetup at UCSC Silicon Valley Extension.

 

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Steven Novella - Narrow AI, AGI, prediction & skepticism

Feb 23, 2020