Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

The rapid advancement of AI and ML technologies has revolutionized business operations, enhancing productivity, expanding services and improving efficiency. These tools help businesses make strategic ...

This year’s winner of Best use of machine learning/AI, ActiveViam stood out for delivering a practical, production-ready ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...