In this article, you will build a Qt-based Python application with two C/C++-based DLL dependencies. This architecture mimics a typical scenario of using Python and Qt for rapid UI prototyping and DLLs for computation-intense work.

The article discusses the challenges in training accurate object detection models for industrial visual inspection and proposes the use of synthetic data to address dataset limitations.

Create a simple but scalable Telegram bot using AWS Lambda and the python-telegram-bot library

Step-by-step guide on data-cleaning

Optimizing Large Language Models on Intel® Xeon® Processors with Intel® Advanced Matrix Extensions (Intel® AMX)

Leverage Intel® Software Guard Extensions on Virtual Machines to Deploy Secure, Accelerated Machine Learning Pipelines

A quick python course for C++ developers

Getting clean, structured data from four leading AI platforms - OpenAI, Groq, Gemini, and Mistral

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this fourth and final part, you’ll explore how to integrate a custom model into your Intelligent Apps, enhancing the application’s features with specialized AI.