Presentation + Paper
17 May 2024 Colloid intelligence
Author Affiliations +
Abstract
Intelligence, understood as cognitive process, can be described both through a symbolic approach, which couples itself well with the adoption of technological elements such as the digital world, and through a continuum approach, more familiar with biology. Current experiments performed with functional liquids will be discussed, with a reference to holonomic machines and to the achievement of liquid state analogue memories, artificial neural networks and reservoir computers, where the continuum approach is more appropriate. Recent results about the first liquid state, electrically programmable, in memory computing system will be discussed, highlighting novelties, opportunities and drawbacks of using liquid reservoirs for calculus. In particular their massively parallel structure, resilience towards fluid loss, electrostatic discharges and mechanical vibrations, and most importantly their endurance suggest several advantages. Pavlovian learning in colloids and related effects will also be discussed.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Alessandro Chiolerio "Colloid intelligence", Proc. SPIE PC12944, Bioinspiration, Biomimetics, and Bioreplication XIV, PC1294406 (17 May 2024); https://doi.org/10.1117/12.3013018
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KEYWORDS
Liquids

Colloids

Computing systems

Reservoir computing

Zinc oxide

Artificial neural networks

Robotics

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