Embedded thumbnail for The Road to Intelligence
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December 4, 2014
A panel discussion with Geoffrey E. Hinton, Bob Desimone, Laura Schulz, Josh Tenenbaum and Patrick H Winston Chaired by Tomaso Poggio and Shimon Ullman
Embedded thumbnail for Reflexive Theory-of-Mind Reasoning in Games
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December 2, 2014
Prof. Jun Zhang, Department of Psychology and Department of Mathematics University of Michigan, Ann Arbor Theory-of-mind (ToM) is the modeling of mental states (such as belief, desire, knowledge, perception) through recursive (“I think you think I...
Embedded thumbnail for Scientific Utopia: Improving Openness and Reproducibility in Scientific Research
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October 28, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Brian Nosek, University of Virginia
Brian Nosek, University of Virginia
Professor in the Department of Psychology and co-founder of Project Implicit and the Center for Open Science Abstract: An academic scientist’s professional success depends on publishing. Publishing norms...
Embedded thumbnail for Neural Representations of Language Meaning
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September 30, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Tom M. Mitchell
Tom M. Mitchell: E. Fredkin University Professor and Chair of the Machine Learning Department, School of Computer Science at Carnegie Mellon University Abstract: How does the human brain use neural activity to create and represent meanings of words...
Embedded thumbnail for The Integrated Information Theory of Consciousness (1:17:03)
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September 23, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Christof Koch
Dr. Christof Koch, Chief Scientific Officer - Allen Institute for Brain Science The science of consciousness has made great strides by focusing on the behavioral and neuronal correlates of experience. However, such correlates are not enough if we...
Embedded thumbnail for Ken Nakayama: People Watching (and More)
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Jun 11, 2014
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June 11, 2014
Part of
Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Ken Nakayama
Topics: Beyond vision: action, navigation, social perception and behavior; correlation of brain size and social group size; Dennett’s three levels for predicting behavior: physical stance, design stance, intentional stance (to understand other minds...
Embedded thumbnail for Lindsey Powell: Developmental Social Perception
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Jun 11, 2014
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June 11, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Lindsey Powell
Topics: Infant studies reveal non-verbal building blocks for social perception; looking time methods: preferential looking (what/who is more interesting/pleasing), (de)habituation (what/who is similar), violation of expected looking (what is...
Embedded thumbnail for Andrei Barbu: From Language to Vision and Back Again
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Jun 9, 2014
Uploaded:
June 9, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Andrei Barbu
Topics: Importance of bridging low-level perception with high-level cognition; model system for a limited domain that can (1) recognize how well a sentence describes a video, (2) retrieve sample videos for which a sentence is true, (3) generate...
Embedded thumbnail for Patrick Winston: The Story Understanding Story
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Jun 9, 2014
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June 9, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Patrick Winston
Topics: Brief history of AI and arguments against the possibility of artificial intelligence; emergence of symbolic processing capability through evolution; strong story hypothesis: ability to tell, understand, recombine stories distinguishes human...
Embedded thumbnail for Shimon Ullman: Visual Understanding: State of the World, Future Directions
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Jun 9, 2014
Uploaded:
June 9, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Shimon Ullman
Topics: Overview of visual understanding; object categorization and variability in appearance within categories; recognizing individuals; identifying object parts; learning categories from examples by combining different features (simple to complex...

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