Deep learning is a technology driving advancements in AI, but how? In this blogpost we will start by understanding its roots in neural networks, inspired by how the human brain processes information, and break down how deep learning enables machines to learn and make decisions with minimal human intervention. What is a Neural Network? Firstly […]
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Formerly known as Azure AI Studio, the newly rebranded Azure AI Foundry has officially entered preview, offering a comprehensive, unified platform for developers and IT teams to manage and scale AI applications. This change focusses on Microsoft’s commitment to creating a centralized hub for AI discovery, deployment, and management, simplifying how organizations interact with the […]
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Let’s start with the fundamentals: What is machine learning? Back in 1959, Arthur Samuel from IBM defined it as a way for computers to “learn” without being explicitly programmed (A. L. Samuel 1959). Instead of spelling out each rule, we show the computer examples, and it learns patterns on its own.
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Learn the basics of repositories and how they are used in computer science with this simple and easy-to-follow guide designed for non-technical beginners. Get a clear understanding today!
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Experience the power of Azure Cognitive Services Voice Profiles in Microsoft’s Canvas Power Apps! With this cutting-edge technology, you can easily implement multiple languages and improve accessibility development, making your application more inclusive for all users. Whether you’re building a business app or a personal project, this integration will take your app to the next level with its advanced voice recognition capabilities.
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This is a video aimed at showing you how easily it is to handle multiple attachments from different file types and then upload them to an Azure Blob Storage using Canvas Power App.
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So you want to run attended or unattended RPA flows but don’t want to keep your PC on 24/7? Use a Virtual Machine (VM)! In this blog post I’ll show you how to spin up an Azure VM, run your Desktop Flow and close the VM down to save costs and run efficient Desktop Flows.
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