Abstract: Conventional energy-based methods struggle to determine the origin of Forced Oscillations (FOs) in renewable-rich systems because of their dependency on Dissipating Energy Flow (DEF) ...
DeepFlow is a user-friendly framework for solving PDEs, with a focus on fluid dynamics including the Navier–Stokes equations, using Physics-Informed Neural Networks (PINNs). It provides a ...
A cybersecurity researcher says Anthropic has silently patched a vulnerability that would have allowed an attacker to bypass the Claude Code network sandbox, potentially enabling data exfiltration.
Abstract: Recent advances in machine learning have begun to embed oscillatory network principles within neural architectures, aiming to enhance computational efficiency and robustness in time-series ...
@article{zini2026alzheimer, title={Alzheimer’s disease classification from EEG using a multiscale temporal deep network}, author={Zini, Simone and Barbera, Thomas and Bianco, Simone and Napoletano, ...
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