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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 ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
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