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

Here are two high level articles that mention Vector Symbolic Architecure / HyperDimensional Computing in the more "popular" end of the technical press:

https://www.quantamagazine.org/a-new-approach-to-computation-reimagines-artificial-intelligence-20230413/

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10098176

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

Hi maths-adjacent peeps, I have a maths notation question: Is there some conventional(ish) symbol for factorisation interpreted as a unary operator - e.g. F where F(x) returns a set of factors of x (but less dull and bland than F).

A quick, inept, internet search didn't find anything. I suspect there isn't a standard, conventional notation. I'm just looking for something I can use in a diagram that would look intuitively plausible as a symbol for factorisation.

#math #MathPsych #CogSci

From the organisers:

This July, the Cognitive Science Society is bringing its annual conference to Sydney. Our main reason for hosting our conference in Australia is to support cognitive scientists in the area who may not have been able to attend our in-person conferences easily in recent years. We'd love to see you there!

We have an excellent invited program on the theme Cognition in Context, and we have increased our financial support for travel to ensure a lively, international, in-person event. Details can be found on the conference website: https://cognitivesciencesociety.org/cogsci-2023/

@cogsci #CogSci #CognitiveScience #MathPsych #MathematicalPsychology #AI #ArtificialIntelligence #psychology #conference

The Australasian Mathematical Psychology Conference 2023 is only three weeks away! This is a friendly reminder to register your early bird attendance and submit your abstract by the extended deadline, midnight Friday January 27th 2023.

This year, AMPC will take place at the University of Melbourne, Melbourne Connect Building, February 8th – 10th 2023. The conference will be a single-stream hybrid format, occurring both online and in person, and speakers may indicate a preference for a short (8 + 2 minute question time) or long talk (15 + 5 minute question time).

Online attendance will be free, while in-person early bird tickets (prior to Jan 27th) range from student ($30), to early career academic ($80), to senior academic ($160).

All information regarding tickets, abstract submissions, and the annual dinner can be found through our website https://ampc.mailchimpsites.com, or you can follow these direct links to Register for AMPC 2023 (https://www.eventbrite.com.au/e/australasian-mathematical-psychology-conference-2023-registration-484039825147?aff=ebdssbdestsearch&keep_tld=1) and Submit Your Abstract (https://docs.google.com/forms/d/e/1FAIpQLSeStxteQv7WX5wWjWYSG0TtAgaAp4WvdXAz9U61T0jA8vkETg/viewform).

If you have any questions, please email the AMPC committee at ampccommittee@gmail.com or Paul Garrett directly, paul.garrett@unimelb.edu.au

@cogsci #CogSci #CognitiveScience #MathPsych #MathematicalPsychology #psychology #cognition #perception #memory #DecisionMaking #conference

Hey there! #introduction
I'm Valentin, a physics and psychology student interested in #OpenScience, #bayesian stats, methods, #MathPsych, #CognitiveModeling, metascience and more. I enjoy singing and dancing, cycling and hiking, and spending time with nice people in general.
Looking forward to meet you!🙂

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