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This paper introduces morphologically tunable mycelium chips as a substrate for physical reservoir computing, leveraging the adaptive growth of fungal networks.
This paper introduces FRESCO, an Echo State Network architecture operating entirely in the frequency domain to achieve O(N) complexity for dense recurrent updates, matching state-of-the-art performance on benchmarks while reducing computational costs.
Introduces EARLY, an evolutionary framework for evolving multi-reservoir Echo State Networks that outperforms random search on temporal learning tasks and exhibits task-dependent structural differences.
This article discusses how reservoir computing, a simplified type of neural network often called AI's cousin, is being applied to control soft robots, offering efficient and adaptive control solutions.
This paper presents a hybrid quantum-classical pipeline using neutral-atom reservoir computing and auto-encoders for medical image classification, specifically for polyp detection. It addresses quantum measurement non-differentiability with a surrogate model to enable end-to-end training.