A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective laser melting (SLM). This novel approach ...

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 ...

A neural network is a series of algorithms that seek to identify relationships in a data set via a process that mimics how the human brain works.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

In this first in a series on convolutional neural networks (CNNs), we discuss the advantages of CNNs vs. classic linear programming describe the CNN ...

Step 3: Build your neural network Once our data is tokenized, we need to assemble the A.I.’s “brain” — a type of system known as a neural network. This is a complex web of interconnected ...