This innovative IoT-ANN framework allows for non-destructive concrete strength assessment, improving accuracy and ...
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A new route to optimize AI hardware: Homodyne gradient extraction
A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...
Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...
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 ...
Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...
Cameron Lucas is a writer who has been dedicated to the medium for over four years, and an avid player of video games for all of his life. After the better part of a year at Game Rant as a feature ...
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