Google has just launched its newest AI model, and it’s making waves. Named Gemini 3, Google claims this is its “smartest model yet.” It can handle deep reasoning, multimodal interactions, and complex coding tasks. For developers and everyday users alike, Gemini 3 aims to be there from morning to night, assisting with emails, coding projects,
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All posts tagged in AI Agents
Google is now embedding its latest AI model, Gemini 3, into its core products, starting with the search engine. This move aims to bring advanced AI features to both consumers and businesses faster, especially as competition heats up in the AI space. The update introduces new tools for coding, automating workflows, and improving search results.
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Microsoft is testing a new managed database service called Azure HorizonDB, designed to attract more customers by handling modern AI workloads and helping update older applications. This is the third PostgreSQL-compatible database offering from Microsoft, aiming to stand out from its existing options. What Makes HorizonDB Different? Azure HorizonDB is built with a shared storage
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Microsoft is rolling out a new tool called Agent 365 (A365), aiming to be the central hub for managing AI agents in organizations. As more companies deploy AI agents to handle tasks and connect to sensitive data, IT teams need better ways to keep everything secure and organized. The goal is to prevent chaos as
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Asset management firms are increasingly adopting advanced AI technology to make their operations smarter and more efficient. The latest partnership between Franklin Templeton and Wand AI exemplifies this shift towards more autonomous, data-driven investment processes. What started as small pilot programs is now moving into full-scale AI systems that aim to revolutionize how investments are
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Microsoft has rolled out Aspire 13, the newest version of its toolkit designed for building distributed, cloud-native applications. This update brings some exciting features, especially for developers working with Python and JavaScript. The company says these languages are now “first-class citizens” on the platform, meaning they get full support for running, debugging, and deploying applications.
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Imagine different AI systems built by various developers coming together to work smoothly. That’s what the new A2A protocol makes possible. It’s like a universal language for AI agents, allowing them to communicate, share tasks, and trust each other. Instead of just one big AI doing everything, A2A helps teams of specialized agents coordinate their
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Developing and launching AI agents without a solid, ongoing testing plan is risky. As AI becomes more common in business tools, teams need better ways to make sure these systems work well and stay trustworthy. Unlike traditional software, AI agents are tricky to test because their responses are often unpredictable and open-ended. That’s why having
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Chatbots have been part of the digital landscape for years. They used to be simple tools that answered questions based on decision trees. These bots were mainly good for FAQs and basic tasks, but they didn’t really understand business data or make decisions. Now, a new kind of AI is emerging that’s changing everything. This
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Last week, a big dispute erupted between Amazon and Perplexity over AI shopping tools. Amazon sent a stern legal letter to Perplexity, demanding changes to how its AI shopping agent operates. The core issue is that Perplexity’s Comet AI browser feature allows an AI “agent” to shop on Amazon on behalf of users. For example,
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