A US congressman has made shocking claims that a hidden object, so massive it cannot be moved, has had an entire building constructed around it at a secret overseas location. Rep Eric Burlison said on ...

Abstract: Slender objects in remote sensing, such as bridges and trains, represent a unique yet under-researched target because of their extreme aspect ratios. This characteristic presents challenges ...

What if you could turn chaotic, unstructured text into clean, actionable data in seconds? Better Stack walks through how Google’s Lang Extract, an open source Python library, achieves just that by ...

Some of the most important battles in tech are the ones nobody talks about. One of them? The war against unstructured text chaos. If you’ve ever tried to extract clean, usable data from a pile of ...

Objects and structures way bigger than you probably imagined. Five years, nearly a million left: Over 2 lakh Indians renouncing citizenship every year - what's behind the exodus? Video: 77-year-old ...

🔍 PDF parser for AI data extraction — Extract Markdown, JSON (with bounding boxes), and HTML from any PDF. #1 in benchmarks (0.90 overall). Deterministic local mode + AI hybrid mode for complex pages ...

An experiment showcases the world’s largest demonstration of its kind. Maddow Blog | After judges are critical of the Supreme Court, Jim Jordan asks the wrong question Chris Hemsworth, Alzheimer's and ...

A new phishing and malware distribution toolkit called MatrixPDF allows attackers to convert ordinary PDF files into interactive lures that bypass email security and redirect victims to credential ...

Software developer at BOTMAKERS LLC, working on Instafill.ai technology, which aims to save lawyers and ordinary users from the routine task of filling out PDF-forms. Software developer at BOTMAKERS ...

In this tutorial, we demonstrate how to build an AI-powered PDF interaction system in Google Colab using Gemini Flash 1.5, PyMuPDF, and the Google Generative AI API. By leveraging these tools, we can ...

Abstract: Few-shot object detection (FSOD) focuses on detecting objects of novel classes with only a small number of annotated samples. Due to the limited number of new class samples and the presence ...