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 https://numenta.com.
This channel is owned and run by Numenta, Inc.
Transforming AI Through Neuroscience | The AI Conference 2024
Build and Deploy Your AI Application on NuPIC 2.0 | Webinar
NuPIC: A New Era of AI Inference | CES 2024
Introduction to Kubernetes | Gigi Sayfan
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
"Complementary Learning Systems Theory Updated" Paper Review | Jeff Hawkins | Research | Numenta
The Thousand Brains Theory of Intelligence | Jeff Hawkins | Numenta
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
A Zoom Conversation with Numenta CEO Subutai Ahmad
Plasticity and Learning Algorithms in Models of the Single Neuron - August 25, 2022
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline - June 10, 2022
Brains@Bay Meetup - Exploring Neuromodulators and How They Might Impact AI (Apr 13, 2022)
Tutorial and Discussion on Cortical Column Voting Mechanisms Developed by Numenta - 5 April, 2022
How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta
Sparsely-Gated Mixture-of-Experts Paper Review - 18 March, 2022
Papers on Equivariant Neural Networks for Object Representation - 11 February, 2022
"Learning Physical Graph Representations from Visual Scenes" Paper Review - December 22, 2021
Brains@Bay Meetup - Sensorimotor Learning in AI (Dec 15, 2021)
An Overview of Plasticity Mechanisms in the Brain (Part Two) - 15 November, 2021
An Overview of Plasticity Mechanisms in the Brain (Part One) - 10 November, 2021
Neural Computation with Dendritic Plateau Potentials - 18 October, 2021
Jeff Hawkins at MIT Technology Review's EmTech Conference 2021: Building a Better AI
Discussion on Knowledge Transfer Among Cortical Columns - September 29, 2021
Insights on Sensorimotor Object Modeling from “Animate Vision” by Dana Ballard - 27 September, 2021
Cortical Column Networks: Learning object identity and pose representations from pixel observations
Jeff Hawkins on Object Modeling in the Thousand Brains Theory (Part Two) - September 9, 2021
Jeff Hawkins on Object Modeling in the Thousand Brains Theory (Part One) - September 3, 2021
A Conversation on A Thousand Brains and Behavioral Modification
Algorithmic Speedups via Locality Sensitive Hashing & Bio-Inspired Hashing - September 8, 2021
Voting in the Thousand Brains Theory (Part Two) - August 30, 2021