Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Daniel D. Gutierrez, Editor-in-Chief & Resident Data Scientist, insideAI News, is a practicing data scientist who’s been working with data long before the field came in vogue. He is especially excited ...

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

In the global conversation about modern modeling, digital transformation, and artificial intelligence, many names have become synonymous with groundbreaking advancement. Cynthia Rudin’s research on ...

Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change. The world has learned two things in ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...

Many of us at Stevens have taken, are taking, or will take a course that involves fluid dynamics. These courses tend to be on the more challenging end, because fluids can behave in immensely complex ...