15 тысяч подписчиков
454 видео
Modeling of Hippocampus Together with Neocortex for Few-Shot Learning and Beyond - March 1, 2021
A Conversation on A Thousand Brains and Pedagogy
Discussion on Knowledge Transfer Among Cortical Columns - September 29, 2021
BHTMS - simplehtm integration, LaTeX, & Syntax Highlighting
Brains@Bay Meetup - Sensorimotor Learning in AI (Dec 15, 2021)
How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta
Brains@Bay Meetup - An Exploration of Grid Cells in Machine Learning (Jun 7, 2021)
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline - June 10, 2022
Jeff Hawkins at MIT Technology Review's EmTech Conference 2021: Building a Better AI
Neural Computation with Dendritic Plateau Potentials - 18 October, 2021
Build and Deploy Your AI Application on NuPIC 2.0 | Webinar
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Jeff Hawkins on Object Modeling in the Thousand Brains Theory (Part Two) - September 9, 2021
"Learning Physical Graph Representations from Visual Scenes" Paper Review - December 22, 2021
Tutorial and Discussion on Cortical Column Voting Mechanisms Developed by Numenta - 5 April, 2022
Insights on Sensorimotor Object Modeling from “Animate Vision” by Dana Ballard - 27 September, 2021
Sparsely-Gated Mixture-of-Experts Paper Review - 18 March, 2022
Plasticity and Learning Algorithms in Models of the Single Neuron - August 25, 2022
Brains@Bay Meetup - Exploring Neuromodulators and How They Might Impact AI (Apr 13, 2022)
Cortical Column Networks: Learning object identity and pose representations from pixel observations
Introduction to Kubernetes | Gigi Sayfan
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
Papers on Equivariant Neural Networks for Object Representation - 11 February, 2022
The Thousand Brains Theory of Intelligence | Jeff Hawkins | Numenta
An Overview of Plasticity Mechanisms in the Brain (Part One) - 10 November, 2021
Transforming AI Through Neuroscience | The AI Conference 2024
AI / Neuroscience Chat! Pooling in Neural Networks in silicon and in your brain - (artificial intell
Peer Neubert Interview with a Roboticist
NAISys 2020: Sparsity in the Neocortex, and its Implications for Machine Learning Poster Walkthrough
Paper Review: Catastrophic Forgetting, Context-Dependent Gating and Synaptic Stabilization - 3/31/21
Paper Review - GLOM: How to Represent Part-Whole Hierarchies in a Neural Network by Geoffrey Hinton
CNS 2021 Poster: Active Dendrites & Sparse Representations for Continual Learning
Brains@Bay Meetup - A Thousand Brains: a fireside chat with Jeff Hawkins (Apr 14, 2021)
Jeff Hawkins on Object Modeling in the Thousand Brains Theory (Part One) - September 3, 2021
Jeff Hawkins BAAI Conference 2021: The Thousand Brains Theory
SNN 2021 Poster: How Can We Be So Slow? Realizing the Performance Benefits of Sparse Networks
Multi-Task Reinforcement Learning with Dendrites / Embodied AI - May 19, 2021
A Conversation on A Thousand Brains and Behavioral Modification
Multi-Task Reinforcement Learning with Dendrites Project Overview - June 9, 2021
"Self-Organization in a Perceptual Network" Paper Review - May 5, 2021
Jeff Hawkins on Reference Frame Rotations - April 19, 2021
A Conversation on A Thousand Brains with Congressman Ro Khanna (Highlights)
Brains@Bay Meetup - The Role of Active Dendrites in Learning (Aug 26, 2020)
Algorithmic Speedups via Locality Sensitive Hashing & Bio-Inspired Hashing - September 8, 2021
Discussion on Grid Cell Distortions and Reference Frame Transformations - May 17, 2021
HTM Overview (Episode 0)
Quantization in Neural Networks - May 27, 2020
Voting in the Thousand Brains Theory (Part One) - August 25, 2021
Paper Reviews on Multiscale Representation and Representational Drift in the Neocortex -Jul 12, 2021
Potential Functional Role for Minicolumns in Neocortex
