Existing three-dimensional (3D) neuronal culture technology has limitations in brain research due to the difficulty of ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

This paper simply depicts knowledge related to BP network and the algorithm first, then introduces BP tool functions supplied by Matlab for BP neural network research and how to program within the ...

With the equivariant neural network suite PiNN introduced here, we are ready for this challenge and anticipating many interesting applications to realistic electrochemical systems coming out soon.

Physics-Informed Neural Networks for Heat Transfer In recent years, Physics-Informed Neural Networks [1] have been applied to various types of application tasks. This example shows how to train a ...

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 ...

An analysis was made of physics-informed neural networks used to solve partial differential equations. The prospects for the implementation of physics-informed neural networks in the MATLAB system are ...