Learn how to do time series regression using a neural network, with 'rolling window' data, coded from scratch, using Python.

Regression Using a scikit MLPRegressor Neural Network Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their ...

A team of chemistry, life science, and AI researchers are using graph neural networks to identify molecules and predict smells. Models made by researchers outperform current state-of-the-art ...

Artificial neural networks -- algorithms inspired by connections in the brain -- have 'learned' to perform a variety of tasks, from pedestrian detection in self-driving cars, to ...

How Google researchers used neural networks to make weather forecasts Google says its forecasts are better than existing methods—but only for 6 hours.

In this way, using these artificial neural networks, they were able to identify which images induced extremely strong responses from specific neurons. Image Credit: ktsdesign / Shutterstock ...

Using data on microtremors in Japan, a neural network model can estimate site-specific responses to earthquakes based on subsurface soil conditions.

Patricia M. West, Patrick L. Brockett, Linda L. Golden, A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice, Marketing Science, Vol. 16, No. 4 (1997), pp.