Flexibility of Boolean Network Reservoir Computers in Approximating Arbitrary Recursive and Non-Recursive Binary Filters

Reservoir computers (RCs) are biology-inspired computational frameworks for signal processing that are typically implemented using recurrent neural networks.Recent work has shown that Boolean networks (BN) can also be used as reservoirs.We analyze the performance of BN RCs, measuring their flexibility and identifying the factors that determine the

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Map Reading and Analysis with GPT-4V(ision)

In late 2023, the image-reading capability added to a Generative Pre-trained Transformer (GPT) framework provided the opportunity to potentially revolutionize the way we view and understand geographic maps, the core component of cartography, geography, and spatial data science.In this study, we explore reading and analyzing Iron maps with the lates

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