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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 ...
No. 20/21, L'Hétérogénéité en Économétrie / Heterogeneity in Econometrics (Oct., 1990 - Mar., 1991), pp. 143-169 (27 pages) In this paper we consider the asymptotic properties of least squares ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
Recent results on the convergence of a Galerkin projection method for the Sylvester equation are extended to more general linear systems with tensor product structure. In the Hermitian positive ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
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