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).

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This second tutorial demonstrates how to add intelligent features to this user feedback analysis application. Then, it explores how to use your new Intelligent App to analyze user feedback.

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

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

Discover the fundamentals of artificial intelligence (AI) and how it can revolutionize your business. Learn about the benefits, applications, and practical use cases to ignite your curiosity

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 first article of our hands-on series, we’ll delve into creating an Intelligent App that leverages Azure AI Vision to analyze images and extract data.

Explore real-world examples of how Intelligent Apps revolutionize logistics, retail, finance, manufacturing, tech, and medicine

This article provides a comprehensive guide to TensorFlow 2.x, covering its execution modes, model building APIs, and insights for choosing the right approach for machine learning projects.

Discover how to leverage AI capabilities in .NET applications for generating custom images from textual descriptions with ease.