Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

Patient characteristics and model fairness across subgroups. Credit: JAMA Network Open (2025). DOI: 10.1001/jamanetworkopen.2025.13685 ...

Building a machine learning model is only half the journey. Getting it to run reliably in the real world often requires navigating complex infrastructure. The transition from building on Jupyter ...

But integrating machine learning (ML) into the real world proved challenging, and the vast gap between development and deployment was made clear. In fact, research from Gartner tells us 85% of AI ...

Scientists are developing artificial intelligence and machine learning tools for improving the operations of particle accelerators, such as with Jefferson Lab’s Continuous Electron Beam ...

Azure Machine Learning provides comprehensive, end-to-end support for the entire machine learning lifecycle, from data preparation to model deployment and monitoring, making it easy to get started ...

Sakana AI’s founding ethos lies in merging evolutionary computation with modern machine learning. The company believes current models are too rigid—locked into fixed architectures and ...

In the absence of a federal framework to monitor the impact of artificial intelligence in the clinic, the Coalition for Health AI (CHAI) is stepping in on post-deployment oversight. The Food and ...

AI-powered cloud services enable scalable model training and deployment. Setting Up a Machine Learning Environment on Linux To begin AI/ML development on Linux, follow these steps: Choose a Linux ...