.NET 9 Focuses on .NET Aspire & AI, Preview of Copilot in SQL Server Management Studio, More

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November 14, 2024
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In .NET 9 Debut, Microsoft Focuses on .NET Aspire, AI
Microsoft shipped .NET 9 this week with the dev team highlighting .NET Aspire and AI in a keynote and follow-on sessions of the livestreamed launch event.

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Free (Non-Commercial) JetBrains Rider vs. Visual Studio 2022 Community Edition
Microsoft Previews Mads Kristensen Keynote at Orlando Dev Conference
Syncfusion Open Sources 14 Controls for .NET MAUI
New Combit Reporting Tool Release Supports .NET 9
 
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Blitz of New VS Code AI Improvements Include 'Copilot Edits'
Microsoft's October 2024 release of Visual Studio Code (v1.95) focuses on enhancing the AI-driven development experience through GitHub Copilot. AI-related updates affect large code edits, multi-account support, and a more accessible Copilot Chat.

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Copilot Workspace Does Web App in Minutes, No Coding Required
Data Science Pack for VS Code Bundles Python, Data and Copilot Tools
See Prompts Microsoft Engineers Use for Bleeding-Edge Multimodal RAG AI Research
Microsoft Eases Integration with Semantic Kernel AI SDK
 
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Microsoft Previews Copilot AI in SQL Server Management Studio
In announcing SSMS 21 Preview 1 this week, Microsoft revealed Copilot AI for the tool is also being previewed, privately.

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How Visual Studio IntelliCode Helped Shape GitHub Copilot and Modern AI
Visual Studio's Future: Live Help to 'AI-ify Your App'
Python AI Updates Highlight New VS Code Release
Microsoft Ships Stable Versions of OpenAI Libraries for .NET and Azure
 
Semantic Kernel AI Toolkit Extends to AWS Cloud
Microsoft announced its open-source Semantic Kernel toolkit for integrating advanced AI models into applications is now available on the Amazon Bedrock managed service.

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Microsoft Highlights Third-Party Open-Source '.NET Smart Components'
Copilot AI Enhanced in Flurry of Visual Studio v17.12 Previews
Lessons Learned Building a GenAI-Powered App
Another Report Weighs In on GitHub Copilot Dev Productivity: 👎
 
DBSCAN Clustering and Anomaly Detection Using C#
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm. Compared to other anomaly detection systems based on data clustering, DBSCAN can find significantly different types of anomalies.

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Winnow Classification Using C#
Implementing k-NN Classification Using C#
Logistic Regression with Batch SGD Training and Weight Decay Using C#
AdaBoost Binary Classification Using C#
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