Abstract: This article proposes distributed algorithms free of Hessian for both time-invariant and time-varying optimization (TVO) problems. To this end, a subsystem is introduced to estimate the ...

As the complexity of analog circuit optimization problems increases, existing optimization algorithms struggle with intricate circuit specifications. In this article, we propose a hybrid ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

QuantumDrugAI is a hybrid quantum–classical deep learning framework designed for molecular property prediction and molecule optimization in AI-driven drug discovery applications. The framework ...

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