Thousand Brains Theory of Intelligence - Jeff Hawkins (Artificial Intelligence(AI))

Jeff Hawkins is the founder of Redwood Center for Theoretical Neuroscience in 2002 and Numenta in 2005. In his 2004 book titled On Intelligence, and in his research before and after, he and his team have worked to reverse-engineer the neocortex and propose artificial intelligence architectures, approaches, and ideas that are inspired by the human brain. These ideas include Hierarchical Temporal Memory (HTM) from 2004 and The Thousand Brains Theory of Intelligence from 2017. This conversation is part of the Artificial Intelligence podcast. Audio podcast version is available on https://lexfridman.com/ai/

Podcast website: https://lexfridman.com/ai

Course website: https://deeplearning.mit.edu
YouTube Playlist: http://bit.ly/2EcbaKf
Thousand brain theory: http://bit.ly/2Xl83he
On Intelligence: https://amzn.to/322Qly4
Numenta: https://numenta.com/
Topics:
Introduction
Understanding how the human brain works
Parts of the brain
How much do we understand?
Nature of time in the brain
Building a theory of intelligence
Thousand brains theory of intelligence
Ensembles and sensor fusion
Concepts and language
Memory palace and method of loci
Reference frames
Open problems
Context
Introspective thinking about the brain
Deep learning
Benchmarks
Brain learning process
How far are we from solving intelligence
Possibility of AI winter
Consciousness and intelligence
Mortality
Will understanding intelligence make us happy?
Existential threats of AI
Super-human intelligence and our future
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Lex Fridman

Buxone Technology July 06, 2019