The goal of a time series regression problem is best explained by a concrete example. Suppose you own an airline company and you want to predict the number of passengers you'll have next month based ...

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. Neural networks are the ...

If you have ever asked yourself why Google Translate has become much better at translating in recent years, the answer is because of artificial neural networks. Since November 2016, the company's ...

James McCaffrey explains what neural network activation functions are and why they're necessary, and explores three common activation functions. Understanding neural network activation functions is ...

A recent project here at the Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) wants to make high-performance scientific computing cheaper by finding new ways to squeeze performance from ...