This page collects numerous HD/VSA videos such as lectures, conference presentations, and papers highlights.
Please also check the page with the recordings of webinars.
Please let us know if some videos are currently missing and should be added to this page. We will take care of updating the page.
The Algebra of Cognition
Speaker: Chris Eliasmith
Date: November 20, 2024
2023's Biggest Breakthroughs in Computer Science (Quanta Magazine)
Speaker: Abbas Rahimi
Date: December 20, 2023
Article: A Neuro-Vector-Symbolic Architecture for Solving Raven’s Progressive Matrices
Efficient Visual Scene Inference with Resonator Networks and Sparse Coding
Speaker: Christopher J. Kymn
Date: June 16, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Preprint: Computing with Residue Numbers in High-Dimensional Representation
Training a Hyperdimensional Computing Classifier using a Threshold on its Confidence
Speaker: Laura Smets
Date: June 16, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Article: Training a Hyperdimensional Computing Classifier using a Threshold on its Confidence
Work in Progress Talks
Speakers and topics:
Tom Glover - Evolutionary Algorithm Optimisation of Cellular Automata for Vector Expansion
Adam Vandervorst - Programing Library for Binary Hyperdimensional Computing
Dilantha Haputhanthrige - Sparse Reservoir Computing
Sachin Kahawala - VSA for Manifold Learning
Date: June 16, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Spikes for Cognition: Hyperdimensional Computing with Spiking Phasors
Speaker: Jeff Orchard
Date: June 16, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Paper: Hyperdimensional Computing with Spiking-Phasor Neurons
What Can Transformers and VSA Learn from Each Other?
Speaker: Tony A. Plate
Date: June 16, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Encoding Time Series Data Using HDC
Speaker: Kenny Schlegel
Date: June 15, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Paper: HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Vector Symbolic Finite State Machines in Attractor Neural Networks
Speaker: Madison Cotteret
Date: June 15, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Preprint: Vector Symbolic Finite State Machines in Attractor Neural Networks
Low-Energy Adiabatic Computing
Speaker: Alex Serb
Date: June 15, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Hardware Accelerator for Hyperdimensional Computing
Speaker: Rachel StClare
Date: June 15, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Superconducting Hyperdimesnsional Associative Memory for Scalable Machine Learning
Speaker: Kylie Huch
Date: June 15, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Article: Superconducting Hyperdimensional Associative Memory Circuit for Scalable Machine Learning
Hierarchies and Hypervectors
Speaker: Dmitri A. Rachkovskij
Date: June 15, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Thinking about Vector Symbolic Architectures
Speaker: Ross Gayler
Date: June 15, 2023
Event: The Midnight Sun Workshop on Vector Symbolic Architectures
Vector Symbolic Architectures In Clojure
Speaker: Carin Meier
Date: April 27, 2023
Capacity Analysis of Vector Symbolic Architectures
Speaker: Ken Clarkson
Date: April 3, 2023
Preprint: Capacity Analysis of Vector Symbolic Architectures
Disentangling Visual Attributes for Deep Neural Networks
Speaker: Jovin Langenegger
Date: March 28, 2023
Paper: In-memory Factorization of Holographic Perceptual Representations
Detailed technical webinar: link
A Neuro-Vector-Symbolic Architecture for Solving Raven’s Progressive Matrices
Speaker: Michael Hersche
Date: March 6, 2023
Paper: A Neuro-Vector-Symbolic Architecture for Solving Raven’s Progressive Matrices
Detailed technical webinar: link
HAAI2022: Hyperdimensional Advances in Artificial Intelligence
Organizers: Evgeny Osipov, Daswin De Silva, Sachin Kahawala, Dilantha Haputhantri
Date: December 7, 2022
In-memory Physical Superposition Meets Few-shot Continual Learning
Embedded Systems Week Special Session: Brain-Inspired Hyperdimensional Computing
Speaker: Peter Sutor, Zhuowen Zou, Xun Jiao, Paul R. Genssler
Date: October 11, 2022
Hyper-dimensional Active Perception: A Journey Into the Mind of a Robotic Bee
Speaker: Yiannis Aloimonos
Note: the presentation begins at approx. 31.05 min of the recording
Date: September 13, 2022
Papers: Symbolic Representation and Learning with Hyperdimensional Computing
Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception
Exploring Vector Symbolic Architectures for Applications in Computer Vision and Signal Processing
Integer Factorization with Compositional Distributed Representations
Speaker: Denis Kleyko
Date: March 29, 2022
Paper: Integer Factorization with Compositional Distributed Representations
The Kanerva Model for Sparse Distributed Memory and the Architecture of the Cerebellum
Speaker: Richard Prager
Date: September 14, 2021
Vector Symbolic Architectures
Speaker: Luis El Srouji
Date: June 22, 2021
Spatial Semantic Pointers and Legendre Memory Units
Speaker: Chris Eliasmith
Date: June 1, 2021
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
Speaker: Andy Zhou
Date: March 26, 2021
Paper: Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
Speaker: Toygun Basaklar
Date: March 26, 2021
Paper: Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
Multiplicative Coding and Factorization in Vector Symbolic Models of Cognition
Speaker: Spencer Kent
Date: December 16, 2020
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods
Analogical Reasoning with VSAs
Speakers: Spencer Kent and Navneedh Maudgalya
Date: December 3, 2020
Perceptron Theory for Predicting the Accuracy of Neural Networks
Speaker: Denis Kleyko
Date: November 20, 2020
Preprint: Perceptron Theory for Predicting the Accuracy of Neural Networks
Symbolic Binding with Distributed Representations
Speaker: Fritz Sommer
Date: September 30, 2020
Paper: Variable Binding for Sparse Distributed Representations: Theory and Applications
Navigation Using a Biologically Inspired Spatial Representation
Speaker: Brent Komer
Date: August 9, 2020
Paper: Efficient Navigation using a Scalable, Biologically Inspired Spatial Representation
Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing
Speaker: IBM
Date: June 2, 2020
Paper: In-memory Hyperdimensional Computing
Detailed technical webinar: link
Computing in Superposition in the Classical Domain
Speaker: Pentti Kanerva
Date: February 7, 2020
High Dimensional Computing, SDM Memory & Hyperscaling
Speaker: Gil Russell
Date: October 2, 2018
Efficient Biosignal Processing with Brain-inspired High-dimensional Computing
Speaker: Abbas Rahimi
Date: February 28, 2018
Working Memory for Structured Data in Neural Networks
Speaker: Fritz Sommer
Date: February 28, 2018
Paper: A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks
Computing with High-Dimensional Vectors
Speaker: Pentti Kanerva
Date: October 25, 2017
No Two Brains Are Alike: Cloning a Hyperdimensional Associative Memory Using Cellular Automata Computations
Speaker: Denis Kleyko
Date: August 1, 2017
The Brain's Circuits Suggest Computing with High-Dimensional Vectors
Speaker: Pentti Kanerva
Date: June 9, 2017
Hyperdimensional Biosignal Processing: A Case Study for EMG-based Hand Gesture Recognition
Speaker: Abbas Rahimi
Date: November 28, 2016
Paper: Hyperdimensional Biosignal Processing: A Case Study for EMG-based Hand Gesture Recognition
Towards Understandable Neural Networks for High Level AI Tasks. Part 1
Speaker: Paul Smolensky
Date: June 22, 2016
The Capacity of Active Memory
Speaker: E. Paxon Frady
Date: June 3, 2016
Paper: A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks
Computing with Hypervectors
Speaker: Pentti Kanerva
Date: March 31, 2016
A Vector Representation of Fluid Construction Grammar
Modeling the Brains Computing with Hyperdimensional Computing
Speaker: Pentti Kanerva
Date: October 9, 2014
Bracketing the Beetle
Speaker: Simon Levy
Date: August 12, 2014
Neurocomputing a la von Neumann
Speaker: Pentti Kanerva
Date: February 14, 2014
VSA: Vector Symbolic Architectures for Cognitive Computing in Neural Networks
Speaker: Ross Gayler
Date: June 14, 2013
How to Build a Brain at TEDxWaterloo
Speaker: Chris Eliasmith
Date: May 30, 2013
Book: How to Build a Brain: A Neural Architecture for Biological Cognition
The Computer and the Brain
Speaker: Pentti Kanerva
Date: December 5, 2012
Encoding Meaning with High-Dimensional Random Vectors
Speaker: Pentti Kanerva
Date: December 9, 2008
Vector Symbolic Architectures: A New Building Material for AGI
Speaker: Simon Levy
Date: March 1, 2008
Paper: Vector Symbolic Architectures: A New Building Material for Artificial General Intelligence