A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
Distributed Tracing Regression in Nodejs Azure Functions with OpenTelemetry and Application Insights
I believe there has been a regression in the integration between Node.js Azure Functions, Application Insights, and OpenTelemetry that is preventing proper distributed tracing. Function invocations ...
Abstract: We propose and experimentally demonstrate a reconfigurable nonlinear activation function (NAF) unit based on add-drop resonator Mach-Zehnder interferometers (ADRMZIs) for photonic neural ...
Regular use of cannabis, both marijuana smoking and tetrahydrocannabinol (THC)-edibles consumption, is associated with vascular endothelial dysfunction in otherwise healthy young adult users, ...
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
This study addresses the challenge in identifying and preserving higher-order cognitive functions within a complex dynamic systems framework during neurosurgery. Traditionally, neurosurgical practice ...
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