@giacomoi @albertcardona @RuthMalan

I am hoping to see lots more practical developments along the lines of: This physical phenomenon does something (by virtue of being itself) that is isomorphic to some computation. How do we couple it to the environment so that the naturally occurring computation corresponds to something we care about?

To be honest, I am a little surprised that there haven't been more attempts at modern analog computers. This paper by Jaeger et al gives some clue as to the potential for extracting computational services from physic: http://arxiv.org/abs/2307.15408

I suspect that one contributor to the lack of progress on modern analog computing is the difficulty of mapping from the user's problem of interest to the computation offered by the physical substrate. In the AOC case you need to map the user's problem to a fix-point problem (because that's all the hardware can solve). This paper by Kleyko et al deals with that issue by proposing that Vector Symbolic Architectures could be used as an intermediate abstraction between the user's problem and a wide range of nonstandard computational hardware: http://arxiv.org/abs/2106.05268

#neuromorphic #AnalogComputing #VectorSymbolicArchitectures #VSA #HyperdimensionalComputing #HDC

The next VSAonline webinar is at 17:00 UTC (not the usual time), Monday 27 January.

Zoom: https://ltu-se.zoom.us/j/65564790287

WEB: https://bit.ly/vsaonline

Speaker: Anthony Thomas from UC Davis, USA

Title: ”Sketching a Picture of Vector Symbolic Architectures”

Abstract : Sketching algorithms are a broad area of research in theoretical computer science and numerical analysis that aim to distil data into a simple summary, called a "sketch," that retains some essential notion of structure while being much more efficient to store, query, and transmit.

Vector-symbolic architectures (VSAs) are an approach to computing on data represented using random vectors, and provide an elegant conceptual framework for realizing a wide variety of data structures and algorithms in a way that lends itself to implementation in highly-parallel and energy-efficient computer hardware.

Sketching algorithms and VSA have a substantial degree of consonance in their methods, motivations, and applications. In this tutorial style talk, I will discuss some of the connections between these two fields, focusing, in particular, on the connections between VSA and tensor-sketches, a family of sketching algorithms concerned with the setting in which the data being sketched can be decomposed into Kronecker (tensor) products between more primitive objects. This is exactly the situation of interest in VSA and the two fields have arrived at strikingly similar solutions to this problem.

#VectorSymbolicArchitectures #VSA #HyperdimensionalComputing #HDC #AI #ML #ComputationalCognitiveScience #CompCogSci #MathematicalPsychology #MathPsych #CognitiveScience #CogSci @cogsci

If you're (potentially) interested in Vector Symbolic Architectures / Hyperdimensional Computing and Artificial Intelligence and you're within reach of Palo Alto, California on June 12th then you should head along to the event being hosted by Nordic Innovation House. Some of my colleagues from UC Berkeley and Luleå Tekniska Universitet will be there.

https://www.eventbrite.com/e/hypervectors-agi-event-tickets-876530936627

#event #meeting #VectorSymbolicArchitectures #VSA #HyperdimensionalComputing #HDC #ArtificialIntelligence #AI #ArtificialGeneralIntelligence #AGI