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Meet Microsoft Scout. An always-on agent that keeps work moving, taking action without needing to be prompted each time. As Microsoft’s first Autopilot agent, Microsoft Scout works across Teams, Outlook, OneDrive, and more—taking action within the controls your organization sets. Learn more:

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446,585 次观看 • 1 个月前 •via X (Twitter)

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MICROSOFT 🔥: Early look at Microsoft Scout Agent for Microsoft Frontier users. Scout agent is designed for work use cases and was recently revealed at Microsoft Build 2026. Features 👀 > Models from OpenAI and Anthropic, including GPT-5.5 and Claude Opus 4.7 > Multi-step automations with support for browser use. > Co-Create, an open canvas where users can collaborate with AI and export outputs as documents. > Deep integration with Microsoft Teams > Daily Briefing that summarises work context across connected services. > Skills support, document generation, coding capabilities, and all that. > Both macOS and Windows apps are available. It would be quite a decent tool for Windows users! Yet, it is only for Frontier. Looking forward to testing their super app too.

MICROSOFT 🔥: Early look at Microsoft Scout Agent for Microsoft Frontier users. Scout agent is designed for work use cases and was recently revealed at Microsoft Build 2026. Features 👀 > Models from OpenAI and Anthropic, including GPT-5.5 and Claude Opus 4.7 > Multi-step automations with support for browser use. > Co-Create, an open canvas where users can collaborate with AI and export outputs as documents. > Deep integration with Microsoft Teams > Daily Briefing that summarises work context across connected services. > Skills support, document generation, coding capabilities, and all that. > Both macOS and Windows apps are available. It would be quite a decent tool for Windows users! Yet, it is only for Frontier. Looking forward to testing their super app too.

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🚀 Big updates from $NSAI Microsoft Teams integration is now LIVE on our AI Agent Platform! 💻✨ Check out our demo video to see it in action! We’ve completed our Android app and will be submitting it to the store soon! We’re also organizing an AMA today – we’ll share the time and co-hosts soon, stay tuned!

🚀 Big updates from $NSAI Microsoft Teams integration is now LIVE on our AI Agent Platform! 💻✨ Check out our demo video to see it in action! We’ve completed our Android app and will be submitting it to the store soon! We’re also organizing an AMA today – we’ll share the time and co-hosts soon, stay tuned!

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An AI engineer at Microsoft has just revealed how their teams build AI agents using Anthropic (Claude). It’s a free 34-minute workshop delivered directly by the Microsoft team. Save it to your favorites and watch it as soon as possible. 🔖 Opus 4.7 + more than 1,400 MCP tools already ready to use. You connect Claude to an agent → add tools → deploy it to production. It’s way more practical and useful than most of those “vibe-coding” courses that sell for 500).

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Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

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The nature of incident response is its chaos, and Microsoft Incident Response (IR) team thrives amid disorder, stepping in when environments are compromised and confidence is shaken. According to Adrian Hill, lead investigator for Microsoft IR, the team’s effectiveness depends on establishing trust within the first 30 seconds—because without it, recovery isn’t possible. The second chapter of our four-part Inside Microsoft Threat Intelligence miniseries demonstrates how incident response is about more than technical fixes. By leading with empathy and collaboration, Microsoft IR unites vendors and internal teams to stabilize crises and uncover hidden threats, ensuring unified action. This approach means that every engagement restores the customer and simultaneously strengthens the broader security ecosystem. Beyond immediate containment, Microsoft IR supports recovery, future planning, and building long-term resilience, turning each response into a lasting partnership built on trust and proactive support. “The customer needs to be successful. The only way to do that is to ensure that everyone is successful.”

The nature of incident response is its chaos, and Microsoft Incident Response (IR) team thrives amid disorder, stepping in when environments are compromised and confidence is shaken. According to Adrian Hill, lead investigator for Microsoft IR, the team’s effectiveness depends on establishing trust within the first 30 seconds—because without it, recovery isn’t possible. The second chapter of our four-part Inside Microsoft Threat Intelligence miniseries demonstrates how incident response is about more than technical fixes. By leading with empathy and collaboration, Microsoft IR unites vendors and internal teams to stabilize crises and uncover hidden threats, ensuring unified action. This approach means that every engagement restores the customer and simultaneously strengthens the broader security ecosystem. Beyond immediate containment, Microsoft IR supports recovery, future planning, and building long-term resilience, turning each response into a lasting partnership built on trust and proactive support. “The customer needs to be successful. The only way to do that is to ensure that everyone is successful.”

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At #GoogleIO, we introduced Google Gemini Spark, your 24/7 personal AI agent that helps you navigate your digital life, taking action on your behalf and under your direction — and you can use it across mobile and desktop, even when your laptop is closed. It's available now to all Google AI Ultra subscribers in the U.S. See it in action ⬇️

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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

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105,343 次观看 • 1 年前

We’re taking action to put patients first. By using an activity-based funding model, healthcare facilities will be paid based on the number of operations they perform. This will help reduce waitlists and allow more people to receive their surgeries as quickly as possible.

We’re taking action to put patients first. By using an activity-based funding model, healthcare facilities will be paid based on the number of operations they perform. This will help reduce waitlists and allow more people to receive their surgeries as quickly as possible.

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159,484 次观看 • 4 个月前

VOX Beta is coming soon. A new prediction experience is taking shape: 🔮 Social Algorithmic Discovery Smarter feeds, more flexible events, and faster ways to find the markets that matter. 📺 Live Prediction Trading Watch the stream, read the momentum, and trade as the action unfolds. 🤖 Agent-Powered Prediction Tools Your personal trading assistant for insights, signals, and smarter decision-making. Prediction markets are becoming more social, more real-time, and more intelligent. VOX is building for that future.

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Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

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📢 Breaking news that will send shivers of panic across academia: Microsoft just announced it's putting a ChatGPT-like took *inside* MS Word 🤯 They're calling it Copilot. According to Microsoft, "Copilot gives you a first draft to edit and iterate on — saving hours in writing, sourcing, and editing time." Imagine having a first draft of a journal article or a dissertation to which you will only need to add citations and section headings. Microsoft is absolutely right that "Copilot will fundamentally change how people work with AI and how AI works with people." As an academic, what do you think of it?

📢 Breaking news that will send shivers of panic across academia: Microsoft just announced it's putting a ChatGPT-like took inside MS Word 🤯 They're calling it Copilot. According to Microsoft, "Copilot gives you a first draft to edit and iterate on — saving hours in writing, sourcing, and editing time." Imagine having a first draft of a journal article or a dissertation to which you will only need to add citations and section headings. Microsoft is absolutely right that "Copilot will fundamentally change how people work with AI and how AI works with people." As an academic, what do you think of it?

Mushtaq Bilal, PhD

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