The world’s leading tech companies open-source their projects on GitHub by releasing the code behind their popular algorithms. Technology is advancing rapidly, and computational costs are lower than ...

Chatterjee says that much of this project's success comes from the level of collaboration involved, which enabled the team to leverage knowledge and resources across academia, government, and industry ...

Chinese cloud vendor releases "core codes" of its Alink platform on GitHub, uploading a range of algorithm libraries that support processes for machine learning tasks, such as online product ...

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms. Others are more subtly ...

After running the genetic algorithm for about five minutes, I ended up with the solution below. I colored the paths by whether they’re in the first (blue), second (orange), third (green), or ...

Model making. To develop their model, the researchers used a machine learning algorithm called an autoencoder, which automatically integrates gigantic swaths of data into a concise representation ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Commenting further on that list, the company said, "Julia, R, and Scala all appear in the top 10 for machine learning projects but not for GitHub overall. ... Scikit-learn is a popular machine ...