UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
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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 ...
Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...
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 ...
Bayer's much-anticipated stem cell therapy for Parkinson's disease is gathering momentum, with dosing in phase 3 trials now underway. The first patient has already been treated with bemdaneprocel, a ...
Abstract: This paper presents a variable projection based method, used along with the forward-backward matrix pencil method, for the synthesis of linear arrays with shaped-beam patterns employing a ...
Abstract: Reconfigurable Intelligent Surfaces (RISs) have gained significant attention in millimeter-wave (mmWave) communication systems due to their ability to configure the wireless propagation ...
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