Extreme summer precipitation events in China have grown increasingly frequent and intense, posing severe threats to human life, property, and ...

Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Imagine if you could "print" a tiny skyscraper using DNA instead of steel. That’s what researchers at Columbia and Brookhaven are doing—constructing intricate 3D nanostructures by harnessing the ...

Researchers are trying to come up with new, better ways to test AI. As a tech reporter I often get asked questions like “Is DeepSeek actually better than ChatGPT?” or “Is the Anthropic model any good?

Retailers like Target and Walmart use AI to prevent stockouts and manage inventory. AI systems can predict demand to help improve inventory accuracy and availability. This article is part of "How AI ...

Abstract: An adjoint-based inverse design method is proposed for efficient topology optimization of microwave components. In this approach, the postprocessing adjoint analytical topology formula is ...

Just wanted to ask if I have the right understanding of what algorithms are being used for each adjoint method, as the documentation does not link each method to a paper or reference.