A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...
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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 ...
In the era of Machine Learning (ML), Natural Language Processing (NLP), and Artificial Intelligence (AI), high-dimensional matrices are ubiquitous. In these fields (and in many others), matrices are ...
Lecture Notes-Monograph Series, Vol. 49, Optimality: The Second Erich L. Lehmann Symposium (2006), pp. 291-311 (21 pages) We analyze the (unconditional) distribution of a linear predictor that is ...
This paper offers a qualitative theoretical analysis of the error that may arise when a linear programming calculation is used to solve a problem involving some ...
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