A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Aurora, an AI foundation model revolutionizes weather and environmental forecasting with accuracy, speed and efficiency.

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather.

The FILTER function makes me feel like an Excel genius even though it is simpler than some of the other functions you'll find ...

By shifting weather prediction from supercomputers to desktop computers, we can democratise forecasting, making these powerful technologies available to developing nations and data-sparse regions ...

Traditional weather forecasting is slow and expensive. AI could help. Forecasts powered by machine learning are proving to be faster and cheaper to produce than conventional methods — and more ...

Discover 17 essential Python libraries every AI engineer should know to build scalable, efficient, and reliable AI systems in 2025 ...

Microsoft researchers are using AI foundation models to enhance scientific discovery in fields like storm forecasting and molecule design.

Darts is Python library that aims to be the scikit-learn for time series analysis. By providing a unified and consistent API, Darts simplifies the end-to-end process of working with time series data.