New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Like millions of other people, climate scientists are finding a role for large language models in coding, communication and ...

Drone pilots earn USDC on Base blockchain to map Earth for AI world models. Spexi's LayerDrone network delivers imagery 900x ...

The research was supported by the National Science Foundation, State of Minnesota Weather Ready Extension, and Minnesota Pollution Control Agency. The research was done in collaboration with the ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Biochar is widely promoted as a climate friendly soil amendment that can store carbon and improve crop growth. Yet scientists have long debated whether it always benefits soil ecosystems. A new study ...

They are using large language models for coding and communication, while also using AI to answer key questions: how hot it will get, how much it will rain, and how fast.

The proposed approach reduces computational cost while maintaining high predictive accuracy, making it suitable for large-scale applications JEONBUK-DO, South Korea, March 16, 2026 /PRNewswire/ -- ...

To mark International Women’s Day (8 March), we spoke to Meghan Plumridge, User Support Specialist for Machine Learning. When Meghan joined ECMWF ten years ago, she wasn’t a computer scientist. She ...

Enabled Digital Twins in Agriculture,” published in the journal AI , provides a comprehensive scoping review of digital twin technologies in precision agriculture, examining how AI, machine learning, ...