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 ...

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

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 ...

Scientists from Tomsk Polytechnic University, together with their colleagues, analyzed various methods of planning experiments to determine the optimal technological parameters of polymer scaffold ...

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.

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

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the ...