When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing global demand for critical minerals, highlights geoscience software company ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

As part of CRN’s 2025 Year So Far series, here’s a look at some of the hottest data science and machine learning tools in use today. Some of the following tools are relatively new to the ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make ...

Learn More. Data scientists view both Azure ML and Databricks as top software picks because both solutions offer comprehensive cloud-based machine learning and data platforms.