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 ...

Half (48%) of developers believe machine learning projects are too time-consuming, according to new research from Civo. The study of more than 500 developers revealed that one-quarter (24% ...

A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los ...

The Advanced Analytics Platform for Machine Learning (CAP-M) project, which is being developed by DHS’s Science and Technology Directorate for CISA, is “envisioned to be a multicloud, multi-tenant ...

According to Appen’s report, “lack of sufficient data for a specific use case, new machine learning techniques ... can increase the chances of your project going from pilot to production ...

Machine learning ... fault in machine learning projects. Overfitting happens when a model is trained to fit too closely to a training set. This results in poor performance on new data.

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique ... this project, he developed machine learning ...

Researchers have developed a new machine-learning tool that shows promise ... the researchers were able to identify unique metabolic combinations that could be early warning signs of the disease.

Recent years have seen the integration of machine learning techniques ... of Haeckelites offers unique possibilities for tuning material properties through strain engineering or chemical doping, ...