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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Abstract: We consider the continuous-time temporal difference (TD) learning dynamics with nonlinear value function approximations, where there is a slim understanding of the convergence properties in ...
This paper studies the theoretical underpinnings of log-linear models of relative asset demand. It shows that log-linearity provides a poor approximation - in both a global and local sense - to asset ...
Abstract: Extremely Large Aperture Arrays (ELAA), or extremely large-scale multiple-input multiple-output (XL-MIMO), stand as a pioneering architecture for future mobile communication systems. Their ...
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