Parallel Echo State Network
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Related Articles from SNS
ParalESN: Enabling parallel information processing in Reservoir Computing
arXiv:2601.22296v2 Announce Type: replace Abstract: Reservoir Computing (RC) has established itself as an efficient paradigm for temporal processing. However, its scalability remains severely constrained by the need to process temporal data sequentially and the prohibitive memory footprint of high-dimensional reservoirs. To address these limitations, we revisit RC through the lens of structured operators and state space modeling, introducing Parallel Echo State Network (ParalESN).
Efficient and accurate neural-field reconstruction using resistive memory
Abstract Applications such as medical imaging, augmented and virtual reality, and embodied artificial intelligence (AI) depend on the ability to reconstruct complex signals from sparse observations. These applications are characterized by incomplete measurements and limited computational resources. Traditional approaches to digital hardware face the following challenges: explicit signal representations require heavy sampling and storage, data movement across the von Neumann bottleneck...
Parallel Reconstruction of Lawful TLS Wiretapping
Parallel Reconstruction of Lawful TLS Wiretapping Transport Layer Security (TLS) is the protocol involved in getting the lock icon to appear in your browser next to the URL. Under the hood it uses a bunch of really cool numbers for encryption. Some numbers are considered private and need securing; some are considered public and are fine for sharing.