Nature

Predicting the effects of temperature variability on nutritional status of children under five in Sub-Saharan Africa using machine learning

Rising temperatures due to climate change pose significant risks to the nutritional status of under-five children, particularly in Sub-Saharan Africa (SSA). This study investigates the influence of ...

The weather and climate science AI revolution isn’t revolutionary

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...
Nature

A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images

Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies ...

Technosylva Launches Expanded Learning Platform for Utility and Fire Agency Customers Navigating Wildfire and Extreme Weather Challenges

Technosylva, the global leader in wildfire and extreme weather science and technology, today announced Campus 2.0, its expanded learning platform. Designed to give customers access to a deep well of ...