Abstract: Due to constraints from imaging devices, the most effective method for estimating the pose of space target RGB images is to establish a 2-D–3-D correspondence and then use the ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Master the Malasana Yogi Squat Pose with this beginner-friendly tutorial! This pose is great for improving hip flexibility, strengthening the lower body, and promoting overall balance. In this video, ...

Learn how to perfect your Triangle Pose (Trikonasana) with this beginner-friendly tutorial! 🔺 This foundational yoga pose helps to increase flexibility, build strength, and improve balance while ...

Abstract: Object six degrees of freedom (6-DoF) pose estimation is the powerful vision algorithm for the robot-environment interaction. However, current robust pose estimation algorithms rely heavily ...

4 keys to writing modern Python Here’s what you need to know (and do) if you want to write Python like it’s 2025, not 2005. How to use uv, the super-fast Python package installer Last but not least, ...

ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...