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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 ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and ...
FINRA voted last month to replace the Pattern Day Trader (PDT) rule’s hard $25,000 equity threshold with a risk-based intraday margin framework, a move that ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
Whether infection of cells by individual virions occurs randomly or if there is some form (s) of competition or cooperativity between individual virions remains largely unknown for most virus-cell ...
Abstract: Nonlinear affine systems with relative degree two widely exist in the control field, and the unified output tracking control approach of these systems is still an open problem. This paper ...
Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...
Risk management is becoming more and more important in the financial industry, but the models used to determine exposure—from ...
The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...
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