From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Generative AI is a headline act in many industries, but the data powering these AI tools plays the lead role backstage. Without clean, curated, and compliant data, even the most ambitious AI and ...

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 ...

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 ...

Generative AI, which is technically a first cousin of AI, combines data science and machine learning at its core. To fully leverage this potential, leaders must build teams that understand the ...

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.

A model applies a simplifying structure to the data, which makes it possible to learn patterns and make predictions. Complex machine learning models have some inherent pros and cons.