This article discusses the application of Stable Diffusion models in generative AI, focusing on image generation from text prompts.

Leveraging Open-Source AI Technologies with Red Hat OpenShift Data Science and Intel® Architecture

In topic 2 of our series, we explore the power of multi-model databases for Intelligent Apps and their integration with Azure Cosmos DB and Azure Kubernetes Service (AKS).

Democratizing Access to Large Language Models

This article explores the use of Stable Diffusion models, focusing on image-to-image generation, using Intel's newly released Intel Data Center GPU Max Series 1100.

An introduction to machine learning with working C++ code that trains a linear regression model.

The Cheetah Optimizer is a nature-inspired metaheuristic algorithm designed to tackle complex optimization problems across multiple dimensions.

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.

How to implement kd-trees in C# ?

In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.