UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
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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 ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for ...
Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...
Established in 1945 under the Charter of the United Nations, the General Assembly occupies a central position as the chief deliberative, policymaking and representative organ of the United Nations.
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Abstract: This article presents a method for optimizing the excitation of a linear array feed in a single parabolic cylindrical compact range (SPCCR), which can improve aperture efficiency while ...
Why Do We Need Water? About 60% of your body weight is made of water. You need it for every single body function. It flushes toxins from your organs, carries nutrients to your cells, cushions your ...
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