AGI Society

@agisocietyofficialAnalyzed

Artificial intelligenceartificial intelligencegeneral intelligencemachine learningAI researchtechnology
Open on YouTube

Audience and activity

Subscribers1.3K
Views per video393median of the last 30
Views per subscriber0.30how many actually watch
Comments per video0median
Uploads per month36.0
Last upload10.2y ago2016-08-03
Total views93.9K
Total videos208
Long-form / Shorts90% / 0%

Counts come from the YouTube Data API and are refreshed regularly; medians are computed from the channel's last 30 videos.

What AGI Society makes

Topics artificial intelligence, general intelligence, machine learning, AI research, technology

This channel contains videos from the Artificial General Intelligence Society. The AGI Society organizes a yearly conference and occasional summer school. Artificial General Intelligence (AGI) is an emerging field aiming at the building of “thinking machines”; that is, general-purpose systems with intelligence comparable to that of the human mind (and perhaps ultimately well beyond human general intelligence). While this was the original goal of Artificial Intelligence (AI), the mainstream of AI research has turned toward domain-dependent and problem-specific solutions; therefore it has become necessary to use a new name to indicate research that still pursues the “Grand AI Dream”. Similar labels for this kind of research include “Strong AI”, “Human-level AI”, etc.

Features other people

Recent videos

TitlePublishedViewsLength
HLAI 2016 Keynote by John Laird - The Cognitive Architecture Approach to AGI2016-08-031.6K63 min
HLAI 2016 Closing Panel2016-07-2639547 min
AGI-16 Claes Strannegård - Integrating symbolic and sub-symbolic reasoning2016-07-2645722 min
AGI-16 Tutorial by Eray Özkural - Incremental Machine Learning in Artificial General Intelligence2016-07-261.5K74 min
AGI-16 Leslie Smith - Deep neural networks: the only show in town?2016-07-266545 min
AGI-16 Claes Strannegård - Integrating axiomatic and analogical reasoning2016-07-261759 min
AGI-16 Pei Wang - Different Conceptions of Learning: Function Approximation vs. Self-Organization2016-07-2624615 min
AGI-16 Garrett Katz - Imitation Learning as Cause-Effect Reasoning2016-07-2633512 min
AGI-16 Kristinn R. Thórisson - Why AI Needs a Task Theory — And What It Might Look Like2016-07-2625512 min
AGI-16 Kristinn R. Thórisson - About Understanding2016-07-2639219 min

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