Explore the idea of a single, secure digital identity for accessing all government services. Learn about the technical challenges, security, and user experience considerations.

The new Fabric Graph database is now rolling out and should be available to everyone within the next few weeks if you can’t see it already. The key to learning a new data-related technology is, I ...

Total surplus is used in economics to measure the combined welfare of both producers and consumers in a market. It shows how beneficial transactions can be for all parties involved. To calculate total ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...

A Column Chart can be used to create the most common form of a timeline in Excel, which consists of a horizontal layout with a time-based X-axis and events or milestones plotted along it. To create a ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Explore data on 30 major news sources with our interactive tool Americans now navigate a quickly changing information environment, with a wide variety of news sources across many different platforms ...

This story was originally published on Nov. 18, 2024. We are re-publishing it to coincide with Anora’s nominations at the Academy Awards, hosted on March 2, 2025. Spoilers ahead. Anora ends in a raw ...

Knowledge graphs have been used tremendously in the field of enterprise lately, with their applications realized in multiple data forms from legal persons to registered capital and shareholder’s ...

Abstract: Graph convolutional networks (GCNs) are popular for building machine-learning application for graph-structured data. This widespread adoption led to the development of specialized GCN ...