LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write ...

The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. How mine waste is ...

Hundreds of millions of iPhone users could be susceptible to hackers using a new malware tool called DarkSword if they have not recently updated their software, according to cyber-security researchers ...

This study is Pew Research Center’s latest effort to explore the landscape of teens and technology today. It focuses on artificial intelligence – from how teens use chatbots to how they think about AI ...

Posts from this topic will be added to your daily email digest and your homepage feed. is an investigations editor and feature writer covering technology and the people who make, use, and are affected ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

On Thursday, Google announced that “commercially motivated” actors have attempted to clone knowledge from its Gemini AI chatbot by simply prompting it. One adversarial session reportedly prompted the ...

National AI usage among businesses is growing, with current rates at 18% and projected to hit 22% in six months. Larger firms show higher AI adoption; those with 250+ employees report a 27% usage rate ...

exo-extract.ps1 is a PowerShell script designed to extract and process data from Microsoft Exchange Online (EXO). The script automates the retrieval of mailbox, message trace, or other ...

People listen to clergy and faith leaders call for accountability at the site where Renee Good was killed by an ICE agent in Minneapolis on Jan. 8. When it comes to staying informed in Minnesota, our ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Content chunking is a technique for breaking down information into smaller, focused sections that make content more scannable, comprehensible, and actionable for both human readers and AI systems. And ...