It is as if one person said, ‘It is bitter cold in Chicago’; and another answered, ‘That is a fallacy, it is very hot in ...

In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...

are hybrid algorithms that combine quantum computing and classical optimization. By using parameterized quantum circuits and optimization techniques such as gradient descent, VQAs iteratively adjust ...

Abstract: We introduce, for the first time in wireless communication networks, a quantum gradient descent (QGD) algorithm to maximize sum data rates in non-orthogonal multiple access (NOMA)-based ...

Hamza Tariq has received funding from the Natural Sciences and Engineering Council (NSERC) of Canada. University of Waterloo provides funding as a founding partner of The Conversation CA. University ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Florida-based Gradient Mortgage Capital, a wholesale mortgage banking platform, launched Monday with the intent to serve mortgage bankers and brokers across the country with debt-service-coverage ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Two tickets to split record $1.8B Powerball jackpot ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...