Deep research’ AI agents combine large language models with sophisticated reasoning frameworks to conduct in-depth, ...

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

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Ground-breaking, GPU-free machine learning now installs in minutes on Ubuntu, Red Hat Enterprise Linux, and Fedora, complete ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Federated learning is a widely used method for collaborative machine learning without sharing local data. In this approach, participants train models using their local data, and the model updates are ...

Although machine learning models usually remain locked once approved for use, the researchers found models specific to hospital type that leverage transfer learning performed better than models ...

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

Training, Validating, and Testing EC Recurrence Models Only variables included in models that were superior to an AUC >0.8 in phase I were brought forward to the second phase of analysis.

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems, as its research papers accepted by a major AI conference demonstrate.