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Found 3 papers, 1 papers with code
Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
However, the self-attention mechanism often used in Transformers requires large time windows for each computation step and thus makes them less suitable for online signal processing compared to Recurrent Neural Networks (RNNs).
Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses
Extracting information from radiofrequency (RF) signals using artificial neural networks at low energy cost is a critical need for a wide range of applications from radars to health.
Tuning the performance of a micrometer-sized Stirling engine through reservoir engineering
Colloidal heat engines are paradigmatic models to understand the conversion of heat into work in a noisy environment - a domain where biological and synthetic nano/micro machines function.
Statistical Mechanics Mesoscale and Nanoscale Physics Soft Condensed Matter
