29:06

Build and Deploy Your AI Application on NuPIC 2.0 | Webinar

06:05

NuPIC: A New Era of AI Inference | CES 2024

01:17:50

Introduction to Kubernetes | Gigi Sayfan

01:04:35

STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner

52:31

"Complementary Learning Systems Theory Updated" Paper Review | Jeff Hawkins | Research | Numenta

35:08

The Thousand Brains Theory of Intelligence | Jeff Hawkins | Numenta

59:51

NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks

11:38

A Zoom Conversation with Numenta CEO Subutai Ahmad

01:06:13

Plasticity and Learning Algorithms in Models of the Single Neuron - August 25, 2022

01:15:55

Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline - June 10, 2022

01:57:12

Brains@Bay Meetup - Exploring Neuromodulators and How They Might Impact AI (Apr 13, 2022)

01:54:44

Tutorial and Discussion on Cortical Column Voting Mechanisms Developed by Numenta - 5 April, 2022

03:50

How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta

01:14:44

Sparsely-Gated Mixture-of-Experts Paper Review - 18 March, 2022

01:07:48

Papers on Equivariant Neural Networks for Object Representation - 11 February, 2022

01:21:00

"Learning Physical Graph Representations from Visual Scenes" Paper Review - December 22, 2021

02:04:53

Brains@Bay Meetup - Sensorimotor Learning in AI (Dec 15, 2021)

54:20

An Overview of Plasticity Mechanisms in the Brain (Part Two) - 15 November, 2021

44:01

An Overview of Plasticity Mechanisms in the Brain (Part One) - 10 November, 2021

01:25:33

Neural Computation with Dendritic Plateau Potentials - 18 October, 2021

29:12

Jeff Hawkins at MIT Technology Review's EmTech Conference 2021: Building a Better AI

47:50

Discussion on Knowledge Transfer Among Cortical Columns - September 29, 2021

01:35:46

Insights on Sensorimotor Object Modeling from “Animate Vision” by Dana Ballard - 27 September, 2021

01:04:14

Cortical Column Networks: Learning object identity and pose representations from pixel observations

01:43:33

Jeff Hawkins on Object Modeling in the Thousand Brains Theory (Part Two) - September 9, 2021

01:26:57

Jeff Hawkins on Object Modeling in the Thousand Brains Theory (Part One) - September 3, 2021

47:50

A Conversation on A Thousand Brains and Behavioral Modification

01:05:25

Algorithmic Speedups via Locality Sensitive Hashing & Bio-Inspired Hashing - September 8, 2021

01:27:53

Voting in the Thousand Brains Theory (Part Two) - August 30, 2021

01:05:02

Voting in the Thousand Brains Theory (Part One) - August 25, 2021

01:29:37

How Active Dendrites Enable Prediction and Context Integration in Neurons - August 18, 2021

12:14

A Conversation on A Thousand Brains with Congressman Ro Khanna (Highlights)

01:33:53

Paper Reviews on Multiscale Representation and Representational Drift in the Neocortex -Jul 12, 2021

38:30

SNN 2021 Poster: How Can We Be So Slow? Realizing the Performance Benefits of Sparse Networks

01:44

CNS 2021 Poster: Active Dendrites & Sparse Representations for Continual Learning

45:07

Jeff Hawkins BAAI Conference 2021: The Thousand Brains Theory

52:32

Multi-Task Reinforcement Learning with Dendrites Project Overview - June 9, 2021

02:35:56

Brains@Bay Meetup - An Exploration of Grid Cells in Machine Learning (Jun 7, 2021)

01:22:02

Multi-Task Reinforcement Learning with Dendrites / Embodied AI - May 19, 2021

01:03:50

Discussion on Grid Cell Distortions and Reference Frame Transformations - May 17, 2021

01:02:47

A Conversation on A Thousand Brains and Pedagogy

44:19

"Self-Organization in a Perceptual Network" Paper Review - May 5, 2021

01:20:47

Subutai Ahmad on Small-World Structures - April 28, 2021

45:11

Jeff Hawkins on Reference Frame Rotations - April 19, 2021

02:03:22

Brains@Bay Meetup - A Thousand Brains: a fireside chat with Jeff Hawkins (Apr 14, 2021)

01:16:54

Book Review: Sparse Distributed Memory by Pentti Kanerva - April 7, 2021

01:09:21

Paper Review: Catastrophic Forgetting, Context-Dependent Gating and Synaptic Stabilization - 3/31/21

01:24:01

Paper Review - GLOM: How to Represent Part-Whole Hierarchies in a Neural Network by Geoffrey Hinton

59:53

A Review of Learning Rules in Machine Learning - March 8, 2021

06:43

NAISys 2020: Sparsity in the Neocortex, and its Implications for Machine Learning Poster Walkthrough

01:01:57

Modeling of Hippocampus Together with Neocortex for Few-Shot Learning and Beyond - March 1, 2021

31:07

“The Tolman-Eichenbaum Machine” Paper Review (Follow-Up) - February 22, 2021

58:15

"Towards Continual Reinforcement Learning: A Review and Perspectives” Paper Review - Feb 22, 2021

19:29

Part Three: Human Intelligence | A Thousand Brains by Jeff Hawkins

15:53

Part Two: Machine Intelligence | A Thousand Brains by Jeff Hawkins

13:29

Part One: A New Understanding of the Brain | A Thousand Brains by Jeff Hawkins

08:26

Introduction | A Thousand Brains by Jeff Hawkins

46:43

OSAKA Continual Learning Scenario Paper Review - February 17, 2021

01:25:54

Marcus Lewis Reviews “The Tolman-Eichenbaum Machine” Paper - February 15, 2021

01:37:29

Continual Lifelong Learning Paper Review / Jeff Hawkins on Grid Cell Modules - February 10, 2021