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.

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 ...

Another C++-based machine learning library, Mlpack, has been around only since 2011, but professes to be faster and easier to work with (by way of a more integral API set) than competing libraries.

Microsoft dev teams for Azure Machine Learning (Azure ML) and Visual Studio Code have improved the developer experience in the super-popular, open source-based, cross-platform code editor.

Over the last 20 years, the OSI has been the guardian of open-source licenses, but now it will also address non-open-source licenses more and AI's role in software development.

Although Python is the widely recognized de facto, go-to programming language for machine learning and many other artificial intelligence projects, a new study shows C# is holding its own in the space ...

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

Machine learning, concluded: Did the “no-code” tools beat manual analysis? In the finale of our experiment, we look at how the low/no-code tools performed.