As threat actors operationalize AI to accelerate attacks, they are also leveraging the wider global interest around AI itself as a social engineering lure. In recent months, Microsoft Threat ...

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

We tested both on writing, coding, research, and video. See which one fits your workflow, budget, and use case.

WSJ’s Shelby Holliday breaks down the training, equipment and operations of the Marine Corps’ Expeditionary Units as several get deployed to the Middle East amid a war with Iran. Photo: Lance Cpl.

Introduction Traditional data extraction strategies, such as human double extraction, are both time consuming and labour-intensive. Artificial intelligence (AI) has emerged as a promising tool for ...

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 ...

The jury’s out on screen scraping versus official APIs. And the truth is, any AI agent worth its salt will likely need a mixture of both. AI agent development is off to the races. A 2025 survey from ...

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 ...

Even as some science funding has come under pressure, the Trump administration recently launched a large, ambitious effort that combines artificial intelligence, energy, innovation, and national ...

I wanted Anthropic to handle PDFs parsing for my Agent. I followed the official docs. I wanted to use Text extraction only ("Converse Document Chat (Original mode - Text extraction only)") which is ...

Every country produces data, but not every country produces it in an organized manner. What matters is not just the volume of data, but how it’s standardized and structured. The messiest or most data ...