Numenta - Invidious

Numenta

We produce content here to help educate people about how the brain works and how we can apply neuroscience principles to artificial intelligence and machine learning. We record our research meetings, share event presentations and create video tutorials about our theory on this channel.

Numenta's goal is to understand how the brain works and apply those core principles to today’s machine learning systems. We have developed a theory of how the neocortex works, called the “Thousand Brains Theory of Intelligence.” You can find more information about our theory, our neuroscience and machine learning research, peer-reviewed papers, machine intelligence technology (HTM), and even our daily research code, which we share in an open-source project, on our website numenta.com.

This channel is owned and run by Numenta, Inc.

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10:13

Transforming AI Through Neuroscience | The AI Conference 2024

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Shared 10 months ago

4.3K views

29:06

Build and Deploy Your AI Application on NuPIC 2.0 | Webinar

Numenta

Shared 1 year ago

884 views

6:05

NuPIC: A New Era of AI Inference | CES 2024

Numenta

Shared 1 year ago

3.3K views

1:17:50

Introduction to Kubernetes | Gigi Sayfan

Numenta

Shared 1 year ago

972 views

1:04:35

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

Numenta

Shared 1 year ago

1.4K views

52:31

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

Numenta

Shared 2 years ago

6.1K views

35:08

The Thousand Brains Theory of Intelligence | Jeff Hawkins | Numenta

Numenta

Shared 2 years ago

16K views

59:51

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

Numenta

Shared 2 years ago

1.9K views

11:38

A Zoom Conversation with Numenta CEO Subutai Ahmad

Numenta

Shared 3 years ago

1.8K views

1:06:13

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

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Shared 3 years ago

2.8K views

1:15:55

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

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Shared 3 years ago

2.1K views

1:57:12

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

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Shared 3 years ago

2.7K views

1:54:44

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

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Shared 3 years ago

3.3K views

3:50

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

Numenta

Shared 3 years ago

22K views

1:14:44

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

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Shared 3 years ago

2.5K views

1:07:48

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

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Shared 3 years ago

1.6K views

1:21:00

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

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Shared 3 years ago

1.7K views

2:04:53

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

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Shared 3 years ago

2.9K views

54:20

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

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Shared 3 years ago

1.6K views

44:01

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

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Shared 3 years ago

1.6K views

1:25:33

Neural Computation with Dendritic Plateau Potentials - 18 October, 2021

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Shared 3 years ago

1.6K views

29:12

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

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Shared 3 years ago

4K views

47:50

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

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Shared 3 years ago

1.6K views

1:35:46

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

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Shared 3 years ago

1.1K views

1:04:14

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

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Shared 3 years ago

1.8K views

1:43:33

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

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Shared 3 years ago

2.3K views

1:26:57

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

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Shared 3 years ago

2.5K views

47:50

A Conversation on A Thousand Brains and Behavioral Modification

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Shared 3 years ago

1.5K views

1:05:25

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

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Shared 3 years ago

1.1K views

1:27:53

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

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Shared 4 years ago

1.6K views

1:05:02

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

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Shared 4 years ago

2.2K views

1:29:37

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

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Shared 4 years ago

3.5K views

12:14

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

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Shared 4 years ago

1K views

1:33:53

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

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Shared 4 years ago

1.5K views

38:30

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

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Shared 4 years ago

1.3K views

1:44

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

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Shared 4 years ago

786 views

45:07

Jeff Hawkins BAAI Conference 2021: The Thousand Brains Theory

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Shared 4 years ago

9.5K views

52:32

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

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Shared 4 years ago

1K views

2:35:56

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

Numenta

Shared 4 years ago

2.9K views

1:22:02

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

Numenta

Shared 4 years ago

957 views

1:03:50

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

Numenta

Shared 4 years ago

1.3K views

1:02:47

A Conversation on A Thousand Brains and Pedagogy

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Shared 4 years ago

1.8K views

44:19

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

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Shared 4 years ago

1.1K views

1:20:47

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

Numenta

Shared 4 years ago

1K views

45:11

Jeff Hawkins on Reference Frame Rotations - April 19, 2021

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Shared 4 years ago

1.4K views

2:03:22

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

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Shared 4 years ago

2.7K views

1:16:54

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

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Shared 4 years ago

2K views

1:09:21

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

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Shared 4 years ago

880 views

1:24:01

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

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Shared 4 years ago

3.9K views

59:53

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

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Shared 4 years ago

1.5K views

6:43

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

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Shared 4 years ago

1K views

1:01:57

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

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Shared 4 years ago

1.9K views

31:07

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

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Shared 4 years ago

1.3K views

58:15

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

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Shared 4 years ago

1.8K views

19:29

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

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Shared 4 years ago

4.8K views

15:53

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

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Shared 4 years ago

5.8K views

13:29

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

Numenta

Shared 4 years ago

13K views

8:26

Introduction | A Thousand Brains by Jeff Hawkins

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Shared 4 years ago

18K views

46:43

OSAKA Continual Learning Scenario Paper Review - February 17, 2021

Numenta

Shared 4 years ago

430 views

1:25:54

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

Numenta

Shared 4 years ago

2.6K views