Jeff Hawkins - Lessons From The Neocortex For AI - Numenta
Jeffrey Hawkins is the American founder of Palm Computing and Handspring. He has since turned to work on neuroscience full-time, founded the Redwood Center for Theoretical Neuroscience in 2002, founded Numenta in 2005 and published On Intelligence describing his memory-prediction framework theory of the brain. Recorded At MIT, Dec 15th, 2017
▶︎
How The Brain Learns and What Can Go Wrong | Jeff Hawkins
▶︎
Principles of Hierarchical Temporal Memory (HTM): Foundations of Machine Intelligence
▶︎
Building Fleet-First EV Charging: Live with Jakub Kott, E.ON Czech Republic
▶︎
Strong Generalization from Small Brains and No Training Data
▶︎
Peter Bickel’s Historical Overview of the UC Berkeley Department of Statistics
▶︎
"The Biological Path Towards Strong AI" by Matt Taylor
▶︎
Earth to Earth, Dust to Dust: The Birth and Death of Worlds
▶︎
I Was Right About AI
▶︎
Brian Cox: Why black holes could hold the secret to time and space | Full Interview
▶︎
On Intelligence with Jeff Hawkins - Conversations with History
▶︎
Brian Cox: The quantum roots of reality | Full Interview
▶︎
What the Brain says about Machine Intelligence
▶︎
Distinguished Lecture in Astronomy: Steven Beckwith
▶︎
Jeff Hawkins: How brain science will change computing
▶︎
Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects?
▶︎
Max Tegmark - How Far Will AI Go? Intelligible Intelligence & Beneficial Intelligence
▶︎
Questions for Theory in the New Age of Machine Learning
▶︎
Jeff Hawkins at MIT Technology Review's EmTech Conference 2021: Building a Better AI
▶︎
The Thousand Brains Theory
▶︎