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.
KEYWORDS: Microsoft Foundation Class Library, Sensors, Transmitters, Electrodes, Particles, Digital electronics, Prototyping, Nanostructuring, Copper, Electrons
Microbial Fuel Cells (MFCs) are energy sources which generate electrical charge thanks to
bacteria metabolism. Although functionally similar to chemical fuel cells (both including reactants
and two electrodes, and anode and cathode), they have substantial advantages, e.g. 1) operation at
ambient temperature and pressure; 2) use of neutral electrolytes and avoidance of expensive catalysts
(e.g. platinum); 3) operation using organic wastes. An MFC can be effectively used in environments
where ubiquitous networking requires the wireless monitoring of energy sources. We then report on
a simple monitoring system for MFC comprising an ultra-low-power Impulse-Radio Ultra-Wide-Band Transmitter (TX) operating in the low 0-960MHz band and a nanostructured piezoresistive
pressure sensor connected to a discrete component digital read-out circuit. The sensor comprises an
insulating matrix of polydimethylsiloxane and nanostructured multi-branched copper microparticles
as conductive filler. Applied mechanical stress induces a sample deformation that modulates the
mean distance between particles, i.e. the current flow. The read-out circuit encodes pressure as a
pulse rate variation, with an absolute sensitivity to the generated MFC voltage. Pulses with variable
repetition frequency can encode battery health: the pressure sensor can be directly connected to the
cells membrane to read excessive pressure. A prototype system comprises two MFCs connected in
series to power both the UWB transmitter which consumes 40μW and the read-out circuit. The two
MFC generate an open circuit voltage of 1.0±0.1V. Each MFC prototype has a total volume of 0.34L
and is formed by two circular Poly(methyl methacrylate) (PMMA) chambers (anode and cathode)
separated by a cation exchange membrane. The paper reports on the prototype and measurements
towards a final solution which embeds all functionalities within a MFC cell. Our solution is
conceived to provide energy sources integrating energy management and health monitoring
capabilities to sensor nodes which are not connected to the energy grid.
Conference Committee Involvement (1)
Biologically Inspired Materials, Processes, and Systems (BIMPS) 2025
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