Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Based on a review of 47 studies, investigators developed a framework to conceptualize machine learning applications in science assessment. The article aims to examine how machine learning has ...

The integration of machine learning into nanotechnology is not just about enhancing existing processes; it's about reimagining what's possible in science and engineering. This synergy enables the ...

Machine learning holds great potential to accelerate materials research. Many domains in materials science are benefiting from its application, but several challenges persist, and it remains to be ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Material science, at its core, is an interdisciplinary field focusing on the discovery ...

The master’s in machine learning engineering from Drexel Engineering provides the skills needed to take on the transformation of science and technology and a successful career in an exciting ...

Apply to the Machine Learning for Data Science Certificate program today at the College of Computing & Informatics. Please refer to the application deadlines below: For Fall 2025: Fall classes start ...

Machine learning plays an important role in studying drug repurposing, especially since the occurrence of COVID-19, scientists around the world used machine learning-based approaches to signal ...

Key applications of machine learning in finance. Machine learning is changing the face of finance by automating complex processes, increasing security and allowing better decision-making.