Three Democrats are seeking information from tech firms about the growing energy use of data centers and the utility bills of individuals and other businesses. By Ivan Penn and Karen Weise Three ...

LinkedIn Is Using More User Data Than Ever to Train Its AI. Here's How to Opt Out As of Nov. 3, LinkedIn is now using data from members in the EU, EEA, Switzerland, Canada, and Hong Kong to train its ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

Crabviz is great for seeing call graphs, thanks for the tool! One issue: when using Python decorators (like @decorator), the decorators themselves don’t show up in the call graphs. The graph skips how ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...

Enterprises are learning the hard way: Real-time data agility isn’t a luxury for AI. It’s the backbone of anything that actually works. AI keeps making headlines, with billion-dollar investments and ...

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 ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...