Thanks @hosford42 for reminding me of this half-day tutorial on Vector Symbolic Architectures / Hyperdimensional Computing. The authors have been applying HDC/VSA to place recognition in robotics, but the tutorial coverage is much wider.

https://www.tu-chemnitz.de/etit/proaut/workshops_tutorials/hdc_ki19/index.html

#VSA #VectorSymbolicArchitecture #HDC #HyperdimensionalComputing #CogRob #CognitiveRobotics #CompCogSci #ComputationalCognitiveScience #CogSci #CognitiveScience #MathPsych #MathematicalPsychology

Lulea Technical University (Sweden) announces two open positions ultimately focusing on research on hyperdimensional computing and vector-symbolic architectures. The positions are connected to the recently approved grant by Swedish Research Council "Vector-symbolic architectures as an algebraic programming language for neuromorphic computers”.

The application deadline is January 31st, 2023

Position 1. Senior lecturer: https://lnkd.in/gu5zf69T

Position 2. Researcher: https://lnkd.in/giSuqkFi

Should you have any questions please write to Evgeny Osipov (Evgeny.Osipov@ltu.se).

#VSA #VectorSymbolicArchitecture #HDC #HyperdimensionalComputing #CogSci #CognitiveScience #CogRob #CognitiveRobotics #MathPsych #CompCogSci #CompSci #ComputerScience #neuromorphic

Lulea Technical University (Sweden) announces two open positions ultimately focusing on research on hyperdimensional computing and vector-symbolic architectures. The positions are connected to the recently approved grant by Swedish Research Council "Vector-symbolic architectures as an algebraic programming language for neuromorphic computers”.

The application deadline is January 31st, 2023

Position 1. Senior lecturer: https://lnkd.in/gu5zf69T

Position 2. Researcher: https://lnkd.in/giSuqkFi

Should you have any questions please write to Evgeny Osipov (Evgeny.Osipov@ltu.se).

#VSA #VectorSymbolicArchitecture #HDC #HyperdimensionalComputing #CogSci #CognitiveScience #CogRob #CognitiveRobotics #MathPsych #CompCogSci #CompSci #ComputerScience #neuromorphic
#job

Abstract:
Motivated by recent innovations in biologically inspired neuromorphic hardware, this article presents a novel unsupervised machine learning algorithm named Hyperseed that draws on the principles of vector symbolic architectures (VSAs) for fast learning of a topology preserving feature map of unlabeled data. It relies on two major operations of VSA, binding and bundling. The algorithmic part of Hyperseed is expressed within the Fourier holographic reduced representations (FHRR) model, which is specifically suited for implementation on spiking neuromorphic hardware. The two primary contributions of the Hyperseed algorithm are few-shot learning and a learning rule based on single vector operation. These properties are empirically evaluated on synthetic datasets and on illustrative benchmark use cases, IRIS classification, and a language identification task using the n -gram statistics. The results of these experiments confirm the capabilities of Hyperseed and its applications in neuromorphic hardware.
https://ieeexplore.ieee.org/abstract/document/9953974

#VSA #VectorSymbolicArchitecture #HDC #HyperdimensionalComputing #CogSci #CogRob #MathPsych

The Centre For Data Analytics and Cognition at La Trobe University and Luleå University of Technology ran a hybrid event in hyperdimensional computing (HDC) and its applications in Artificial Intelligence and neuromorphic systems, on 7 December 2022 . This event aimed to develop knowledge and skills in HDC, an unconventional computing technique, its algorithmic value in practical AI and data analytics solutions, and its potential in enabling novel brain-inspired (neuromorphic) computing technologies.

The event was recorded and is publicly available at the links below:

* Event announcement and program: https://lnkd.in/gNVkJD5q

* Video (3.2 hours): https://lnkd.in/gUf7zx9n

* Slides of Osipov talks: https://lnkd.in/gdV_Bd8A

In case you haven't come across hyperdimensional computing: Higher cognition strongly suggests that humans can represent and operate on complex, compositional data structures like trees and graphs. The problem then is how to represent and operate on those data structures in neural nets. Hyperdimensional computing is a mathematical model of computation in high dimensional vector spaces that allows complex, discrete computation to be readily mapped onto neural or neuromorphic implementation. If you're interested you might look at: https://lnkd.in/gzBSkUwH

#VSA #HDC #ArtificialIntelligence #neuromorphic
#VectorSymbolicArchitecture
#HyperdimensionalComputing
#AI #AGI #CogSci #CogRob #robotics

Here's a recent video of Gary Marcus being himself on the shortcomings of large language models and how they relate to Artificial General Intelligence:

https://youtu.be/xE0ycn8dKfQ

#AI #AGI #ArtificialIntelligence #CogSci #CogRob #DeepLearning #LLM #LargeLanguageModels

Hyperdimensional tech-evening at La Trobe CBD Campus

The La Trobe University Centre for Data Analytics and Cognition (CDAC) (https://lnkd.in/gVi_aS9C) and Luleå University of Technology (Luleå, Sweden) are organising a Tech-evening, with refreshments, on future technologies and trends in artificial intelligence. We invite academics and practitioners to join us in discussion of current state of the art of the AI technologies, the current trends and the path towards artificial general intelligence on 7 December 2022 5:00 PM AEST, at the La Trobe City Campus in Melbourne CBD. The technical track consists of tech talks and online demonstrations of recent advancements in applications of hyperdimensional computing to the development of algorithms for neuromorphic computers. Come and discuss the future of AI with us.

See the downloadable flyer for the full program and registration instructions:
https://www.dropbox.com/s/sv1glga5a618lpd/HDAI2022-07Dec2022.pdf?dl=0

#VSA #HDC #ArtificialIntelligence #neuromorphic
#VectorSymbolicArchitecture
#HyperdimensionalComputing
#AI #AGI #CogSci #CogRob #robotics