Abstract: This article proposes a universal framework for coupling matrix (CM) reconfiguration, offering exceptional adaptability and efficiency. Leveraging Householder transformation (HT), the ...
SSMA is a novel neural network framework designed to overcome the quadratic complexity of Transformers by replacing dense self-attention with a combination of dynamic sparse state transitions, ...
Abstract: In this article, a neurodynamic approach based on event-triggered mechanism for solving Lyapunov matrix equation is established. First, employing matrix decomposition technique, the Lyapunov ...
Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...
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