Central Texas winters can be hard on trees, but a Texas A&M AgriLife Extension Service program will offer practical tips to help homeowners prepare their landscapes for the colder months. Central ...

The rise in tree mortality is troubling for local forest ecosystems. As a global phenomenon, however, it has a significant social impact that remains poorly understood. "We don't currently know ...

Burmese pythons are an invasive species in South Florida, negatively impacting native wildlife and ecosystems. State and federal programs pay contracted hunters to find and remove the invasive snakes ...

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Agencies are treasure troves of information — data that can let the government create a digital workforce to help federal employees do their jobs in new and potentially faster and more effective ways.

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

Instead of running Python scripts manually for routine tasks, why not automate them to run on their own, and at the time you want? Windows Task Scheduler lets you schedule tasks to run automatically ...

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...