Microsoft

YouTube ... Quora ...Google search ...Google News ...Bing News

• Conversational AI ... ChatGPT | OpenAI ... Bing/Copilot | Microsoft ... Gemini | Google ... Claude | Anthropic ... Perplexity ... You ... phind ... Ernie | Baidu
• Artificial Intelligence (AI) ... Generative AI ... Machine Learning (ML) ... Deep Learning ... Neural Network ... Reinforcement ... Learning Techniques
  • LangChain: Tabular Data with Excel
• GitHub Copilot ... a cloud-based AI tool developed by GitHub and OpenAI to assist users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments by autocompleting code.
  • Microsoft opens its Copilot GPT Builder to all Pro subscribers | Carl Franzen - Venture Beat
• Excel ... Documents ... Database; Vector & Relational ... Graph ... LlamaIndex
• Development ... Notebooks ... AI Pair Programming ... Codeless, Generators, Drag n' Drop ... AIOps/MLOps ... AIaaS/MLaaS
• 3 new Microsoft Copilot features I can’t wait to try | Joshua Hawkins - BGR
• MLOps | Microsoft ...model management, deployment, and monitoring with Azure
• Azure Machine Learning Studio
  • Azure Machine Learning service
  • Azure with TensorFlow
  • Azure AI Process
  • Cognitive Services
• Bot Framework and Azure Bot Service
  • Semantic Machines
• Visual Studio Code
  • Python
  • Working with Jupyter Notebooks in Visual Studio Code
• SharePoint
• Project Cortex
• AI School
• Git - GitHub and GitLab
  • Demos and tools:
    • Intelligent Kiosk; collection of demos
    • Video Indexer
    • QnA Maker
• Microsoft Internet of Things (IoT)
• TensorWatch AI debugging and visualization tool
• Graphical Tools for Modeling AI Components
• Augmented Reality
  • HoloLens - new ways to work better together with mixed reality devices
• Microsoft Azure Sphere launches in general availability | Kyle Wiggers - VentureBeat
• Lobe aims to make it easy for anyone to train machine learning models. Free, private desktop application that has everything you need to take your machine learning ideas from prototype to production. This version of Lobe learns to look at images using image classification - categorizing an image into a single label overall. We are working to expand to more types of problems and data in future versions.
• Power Virtual Agents
• Security Now! | Steve Gibson

Microsoft Build 2023 showcased the latest innovations in code and app development to help empower developers around the world. Some of the key announcements include bringing Bing to ChatGPT, Windows Copilot, a new Copilot Stack with common extensibility, Azure AI Studio, and Microsoft Fabric, a new data analytics platform. Book of News

Copilot for Microsoft 365

• Copilot with Word, PowerPoint and Excel ... Microsoft 365 Copilot ... is an AI-powered assistant that helps users with tasks such as generating text, creating presentations, and editing documents.

"How AI Changed ALL Microsoft Tools Forever". It seems to be a comprehensive guide on how artificial intelligence has influenced various Microsoft tools. The video covers a range of tools including PowerPoint, Excel, OneDrive, Word, Outlook, Teams, Copilot Studio, Whiteboard, and Microsoft 365 Chat. It also provides information on how to get these tools.

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Custom Vision

• Azure Custom Vision ...an AI service and end-to-end platform for applying computer vision
• Screening; Passenger, Luggage, & Cargo
• Vision

SQL Server Machine Learning Services

• SQL Server Machine Learning Services

Azure IoT Edge

• Bringing AI to the Edge | Mircosoft
• 5 Reasons Why Azure IoT Edge Is Industry's Most Promising Edge Computing Platform | Janakiram & Associates
  • Open sourcing the platform - Azure IoT Edge is available as an open source project on Github. Edge computing use cases are still evolving where customers are expected to use the platform in unique ways. To enable flexibility and openness, Microsoft has opened up the source code of its edge computing platform. Through this, customers will be able to customize their deployments based on Azure IoT Edge. Adding legacy protocols, integrating with existing asset management solutions, interoperability with proprietary communication protocols and data formats becomes possible through the customization of Azure IoT Edge source code. Open sourcing edge is a brilliant move from Microsoft. It only increases the trust and confidence of customers.
  • Containers at the core - Microsoft has adopted Moby, the open source container runtime that powers Docker, as the engine for Azure IoT Edge. This design decision enables developers to package and deploy standard Docker containers as modules on Azure IoT Edge. Similar to UNIX Pipes, the output of one module can be fed as an input to another module creating a logical chain of Docker containers that work in tandem. Microsoft is making some of the Azure services such as Stream Analytics, Functions, and SQL Server as containerized modules for the edge. Each module can be managed and maintained separately without having to deploy the entire application. The container images are stored in the standard registry either in the cloud or within the data center. Customers can build CI/CD pipelines to automatically push the latest version of modules (container images) to multiple edge locations. Microsoft is also exploring the integration of Kubernetes with Azure IoT to orchestrate the distributed edge deployments effectively. Adopting containers for packaging both Azure services and custom logic goes a long way in managing complex, distributed edge deployments.
  • Ecosystem engagement - Azure IoT already has a vibrant ecosystem of OEMs and ODMs which is now getting extended to Azure IoT Edge. The IoT Edge certification program has the capability-based certification concept. Each vendor participating in the certification program is assigned a level to identify the capability. For example, a vendor targeting the core runtime will get level 1 while another vendor with robust security offering is eligible for level 4. This capability-based marketplace enables customers to choose from a broad ecosystem of partners offering edge computing solutions. Microsoft has also integrated Azure IoT Edge with Visual Studio Team System and Visual Studio Code. Developers can use pre-defined templates to start building the modules. With VSTS, customers can implement CI/CD pipelines to manage the complete lifecycle of modules.
  • Security - Azure IoT Edge is a logical extension of Azure IoT platform. It takes advantage of services such as Device Provisioning Service to provision tens of thousands of devices securely. The built-in Security Manager acts as a well-bounded security core for protecting the IoT Edge device and all its components by abstracting the secure silicon hardware. ODMs can choose to harden the platform through Hardware Security Modules (HSM).
  • AI @ Edge - Microsoft has made it easy to run machine learning models at the edge. Each model responsible for inferencing can be packaged and deployed as a standard module. Developers can train their models on Azure through Data Science VMs or Azure ML Studio. Azure IoT Edge also supports running models exported from Azure’s Automated Machine Learning (AML) - AutoML services such as custom vision. Since each model is just a container/module, new models can be quickly pushed to the edge. With Microsoft’s investment in ONNX, ML models built using different frameworks may be exported to a standard format before using them for inference. Azure IoT Edge plays a crucial role in Microsoft’s vision of delivering Intelligent Cloud and Intelligent Edge. Some of the design decisions such as containerized modules, tight integration with HSM, plugins for Visual Studio turn Azure IoT Edge into one of the most comprehensive edge computing platforms in the industry.