Machine Learning-based weather models have the potential to revolutionise global seasonal forecasting, according to new Met ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Such introductory courses typically cover multiple branches of AI, such as the fundamentals of AI, machine learning, neural ...

HydroForecast Seasonal-3 is the latest generation of seasonal streamflow forecasting, built on a newly developed AI-based ...

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

A tropical wave over the eastern Atlantic – designated Invest 91L by the National Hurricane Center early Thursday – is ...

AI models can deliver localized forecasts faster and cheaper than traditional models. The challenge is getting this ...

Browse fun Halloween crafts for kids to try at home, from easy DIY paper projects for kindergarteners to paint projects for ...