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Parallel mechanical computing: Metamaterials that can multitask.
Proc Natl Acad Sci U S A
December 2024
Department of Mechanical and Aerospace Engineering, University at Buffalo (State University of New York), Buffalo, NY 14260-4400.
Decades after being replaced with digital platforms, analogue computing has experienced a surging interest following developments in metamaterials and intricate fabrication techniques. Specifically, wave-based analogue computers which impart spatial transformations on an incident wavefront, commensurate with a desired mathematical operation, have gained traction owing to their ability to directly encode the input in its unprocessed form, bypassing analogue-to-digital conversion. While promising, these systems are inherently limited to single-task configurations.
View Article and Find Full Text PDFDynamics of Aggregation in Systems of Self-Propelled Rods.
Entropy (Basel)
November 2024
Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.
We highlight camphene-camphor-polypropylene plastic as a useful material for self-propelled objects that show aggregation while floating on a water surface. We consider self-propelled rods as an example of aggregation of objects characterized by non-trivial individual shapes with low-symmetry interactions between them. The motion of rods made of the camphene-camphor-polypropylene plastic is supported by dissipation of the surface-active molecules.
View Article and Find Full Text PDFLinear symmetric self-selecting 14-bit kinetic molecular memristors.
Nature
September 2024
Centre for Nano Science and Engineering, Indian Institute of Science, Bangalore, India.
Artificial Intelligence (AI) is the domain of large resource-intensive data centres that limit access to a small community of developers. Neuromorphic hardware promises greatly improved space and energy efficiency for AI but is presently only capable of low-accuracy operations, such as inferencing in neural networks. Core computing tasks of signal processing, neural network training and natural language processing demand far higher computing resolution, beyond that of individual neuromorphic circuit elements.
View Article and Find Full Text PDFValidation of new tablet-based problem-solving tasks in primary school students.
PLoS One
August 2024
Department of Psychology, University of Kaiserslautern-Landau, Landau, Germany.
Problem-solving is an important skill that is associated with reasoning abilities, action control and academic success. Nevertheless, empirical evidence on cognitive correlates of problem-solving performance in childhood is limited. Appropriate assessment tools are scarce and existing analog tasks require extensive coding.
View Article and Find Full Text PDFSpiking Neural Network Pressure Sensor.
Neural Comput
October 2024
Atner Sp. z o.o., 30-394 Krakow, Poland
Von Neumann architecture requires information to be encoded as numerical values. For that reason, artificial neural networks running on computers require the data coming from sensors to be discretized. Other network architectures that more closely mimic biological neural networks (e.
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