Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

Researchers from the University of Campinas (Campinas, Brazil) and the Waters Research Center (Budapest, Hungary) introduced ...

However, a relatively new form of quantile regression is neural network quantile regression -- a variation of neural network regression. By using a custom loss function that penalizes low predictions ...

To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.

Trained on large-scale real-world data using Helm.ai’s proprietary Deep Teaching™ methodology, the path prediction model exhibits robust, human driver-like behaviors in complex urban driving ...

A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics by Ingrid Fadelli, Phys.org Editors' notes ...

Helm.ai offers full-stack real-time AI solutions, including deep neural networks for highway and urban driving, end-to-end autonomous systems, and development and validation tools powered by Deep ...