Experts argue that by playing chess, students can learn valuable skills that can benefit them in the classroom.

For millimeter-wave (mmWave) integrated circuits, an on-chip calibration method with high accuracy is crucial. For accurate calibration, this paper proposes a thru-reflect-line neural network (TRL-NN) ...

It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.

A Deep Neural Network (DNN) is an artificial neural network that features multiple layers of interconnected nodes, also known as neurons. These layers include an input, multiple hidden, and output ...

Graph Neural Network for Heat Transfer Problem In recent years, graph neural networks [1] have been applied to various types of application tasks. This example shows how to train a graph neural ...

Neural networks are a subset of the field of artificial intelligence (AI). The predominant types of neural networks used for multidimensional signal processing are deep convolutional neural networks ...

The advent of neural-net engines thrills many chess players and coaches, including Sutovsky and Sadler. Carlsen said he was “inspired” the first time he saw AlphaZero play.

In particular, we provide simple and explicit activation functions that can be used with standard neural network architectures to achieve consistency. This work provides fundamental understanding of ...

Keywords: convolutional neural network, model calibration, image representation, shake table testing, nonlinear structural analysis Citation: Lanning A, E. Zaghi A and Zhang T (2022) Applicability of ...

Methods: Bayesian Calibration using Artificial Neural Networks (BayCANN) involves (1) training an ANN metamodel on a sample of model inputs and outputs, and (2) then calibrating the trained ANN ...