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Training robots using artificial intelligence (AI)

Training robots using artificial intelligence (AI) involves creating models that enable robots to perform specific tasks autonomously. This can range from simple tasks like object recognition to complex behaviors like navigation and manipulation in dynamic environments. Below, I’ll walk you through a sample project that demonstrates AI training for a robotic arm to perform a pick-and-place task.

Creating a VR application with SFML

Creating a **VR application** with **SFML** is challenging because SFML (Simple and Fast Multimedia Library) is not inherently designed for VR. However, it can still be done by combining SFML with an **OpenVR** library (such as [OpenVR by Valve](https://github.com/ValveSoftware/openvr)) or **OpenXR** for VR headset support, while using SFML for rendering. Here’s a guide to help you set up a basic VR application using SFML and OpenVR on a Windows machine.

RPA in Trading

Robotic Process Automation (RPA) in trading involves using automation tools to perform repetitive, rule-based tasks in financial markets. It helps traders, financial analysts, and institutions improve efficiency, reduce human errors, and scale their operations. Here are the key use cases, benefits, tools, and implementation strategies for RPA in trading:

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