Forty years ago I forecast that the impact of machine learning would be that book-learning and logical reasoning would lose status just as literacy did when everyone could read and write. Two years ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

In planning, machine learning synthesizes real-time market trends and external factors to drive forecast accuracy ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Abstract: Agricultural pests severely threaten food security, resulting in significant economic, social, and environmental impacts. This paper uses weather data and machine learning models to forecast ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Broadcom enters 2026 at an inflection point, with strong tailwinds from its ASIC and Networking segments. Read why AVGO stock ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...