Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

This rainforest tree solved one of evolution’s hardest problems. Here’s how it evolved to use tension and geometry to fire ...

Who doesn’t love trees? Who doesn’t love data? The tricky part is combining them together in a useful way. In this programming explanation / tutorial we’ll take a look at an extremely versatile and ...

If you’re struggling to part ways with your Christmas tree, consider this: More than one-third (35 percent) of U.S. home ...

Abstract: Replicated tree data structures are a fundamental building block of distributed filesystems, such as Google Drive and Dropbox, and collaborative applications with a JSON or XML data model.

Abstract: For many emerging data-centric computing applications, it is a key capability to efficiently store, manage, and access multidimensional data. To achieve this, many multidimensional index ...

Brian Maitner, an assistant professor in the Department of Integrative Biology, is revolutionizing the way researchers examine and predict the impact of environmental shifts on plant diversity. His ...

As large language models (LLMs) continue to improve at writing code, a key challenge has emerged: enabling them to generate complex, high-quality training data that actually reflects real-world ...

This valuable study uses a massive and long-term experimental data set to provide solid evidence on how tree diversity affects host-parasitoid communities of insects in forests. The work will be of ...

Geometric and Multi-Scale Feature Fusion for Complete Tree Skeleton Extraction. The point cloud data obtained by 3D reconstruction of the tree body is missing, which exacerbates the problem of missing ...