Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

Abstract: Water level forecasting in rivers, lakes, and reservoirs is crucial for effective water resource management, flood control, and environmental planning. This review examines the latest ...

PG&E has begun using artificial intelligence to stay ahead of potential fires. The power company's machine learning model ...

We’re stepping into summer, into fall, where the wildfire risk just continues to increase,” said PG&E’s Scott Strenfel. “We have to be very serious about wildfire prevention, wildfire mitigation, and ...

JPMorgan projects global AI and data center spending will hit $5-7 trillion by 2030, with hyperscalers spending $342 billion ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

FIFA World Cup 2026 - Group F - Netherlands v Sweden Statisticians at the University of Innsbruck ran a simulation of 100,000 ...

Partnership combines advanced demand forecasting and emerging agentic AI capabilities to transform planning operations at global scale ...

LSU researchers are testing a new AI-powered flood prediction system in Ascension Parish, creating what officials describe as a real-world laboratory for the next generation of flood forecasting. Led ...

To understand how RWI predicts potential futures, you need to look at its past.