Strong AI Nature - Ben Goertzel
Published on Sep 23, 2012
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Strong AI Nature - Ben Goertzel
Published on Sep 23, 2012
Can we build a conscious computer?
Published on Dec 4, 2014
Paths to human-level AI
Murray Shanahan, part 1
Paths to human-level AI
Murray Shanahan, part 2
Published on Oct 30, 2015
Symposium: Algorithms Among Us - Panel "Human-level AI – if, how, and when?"
Published on Jun 24, 2016
The Edge of Artificial Intelligence - Human Level AI - Katja Hofmann
Published on Aug 5, 2016
"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
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
Article "Understanding the four types of AI, from reactive robots to self-aware beings"
by Arend Hintze
November 14, 2016
by Arend Hintze
November 14, 2016
Creating Human-Level AI | Yoshua Bengio
Published on Jan 29, 2017
The symbiotic nature of Artificial General Intelligence and Narrow AI
Published on Sep 22, 2017
Article "To Keep AI from 'Eating a Table,' Scientists Make It Read Wikipedia"
by Dan Robitzski
September 26, 2017
by Dan Robitzski
September 26, 2017
Symbiotic AI Using wearable devices to teach computers how to live in a human world
Published on Oct 25, 2017
MIT 6.S099: Artificial General Intelligence - agi.mit.edu
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
ARTIFICIAL INTELLIGENCE (AI) is evolving, with Oxford University researchers synthesising human-like thinking in machines.
by Tom Fish
May 31, 2019
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
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
The biological path toward AGI (Matt Taylor's talk from UCSC Silicon Valley Meetup Jan 2020)
Jan 21, 2020
