Created for the 1976 Bicentennial, the 4,250-mile TransAmerica Trail has drawn cyclists every summer for 50 years. Its varied landscapes, distinct regions, and small-town charm make it one of ...

Modern cloud applications are often deployed using containers, which allow developers to package applications and their dependencies into portable environments. To strengthen my understanding of ...

This package is in its early phase of development. SOM performance metrics have all been tested pretty well, but they may still contain bugs. Please report them in an issue if you find some. If you ...

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.

GPU-accelerated Self-Organizing Maps in PyTorch with a scikit-learn API, rich visualization, and clustering --- from dimensionality reduction to Just-In-Time Learning.

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

The current richness of sequence data needs efficient methodologies to display and analyze the complexity of the information in a compact and readable manner. Traditionally, phylogenetic trees and ...

A self-organizing map (SOM) is a type of artificial neural network that is used for unsupervised learning and data visualization. It was introduced by the Finnish professor Teuvo Kohonen in the 1980s.

We combine a machine learning method and ensemble climate predictions to investigate windows of opportunity for seasonal predictability of European summer climate associated with the North Atlantic ...

Advances in measurement technology are producing increasingly time-resolved environmental exposure data. We aim to gain new insights into exposures and their potential health impacts by moving beyond ...

Transition path sampling techniques allow molecular dynamics simulations of complex systems to focus on rare dynamical events, providing insight into mechanisms and the ability to calculate rates ...