In this course, you will learn what Structured Query Language (SQL) and databases are, the basics of database management, how to set up and configure MySQL, and how to get MySQL client to connect to a ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Create an account or log in to save stories. NINA MOINI: Well, every year, the American Community Survey, a survey affiliated with the US Census Bureau, asks people across the country to share what ...

The Court of Justice of the European Union issued a decision 4 Sept. that provided clarity to the EU General Data Protection Regulation's definition of personal data when it is pseudonymized and where ...

Abstract: Modern language models (LMs) increasingly require two critical resources: computational resources and data resources. Data selection techniques can effectively reduce the amount of training ...

Building on its existing “European Digital Commitments,” communicated in April 2025, Microsoft is launching two key initiatives: supporting the development of more multilingual large lang u age models ...

Measuring AI progress has usually meant testing scientific knowledge or logical reasoning — but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push within AI ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

TIOBE Programming Index News June 2025: SQL Falls to Record Low Popularity Your email has been sent The programming language SQL hit 12th place in the TIOBE Programming Community Index, its lowest ...

Jansen likened the popularity of NoSQL to the rise of dynamically typed languages such as Python if compared to well-defined, statically typed languages such as C++ and Java. While SQL was a serious ...

Data extraction in evidence synthesis is labour-intensive, costly, and prone to errors. The use of large language models (LLMs) presents a promising approach for AI-assisted data extraction, ...