Agentic AI is a new kind of artificial intelligence that can learn, adapt, and even talk to other AI systems. Unlike older AI that follows set rules, agentic AI makes decisions on its own. It can carry out complex tasks and communicate with other machines without needing human help. This technology is moving fast and
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All posts tagged in AI Agents
OpenAI has introduced a new feature that lets users access third-party apps directly within ChatGPT. Now, when you’re chatting, ChatGPT can suggest apps or you can ask for specific ones by name. This makes it easier to do things like browsing data, creating visuals, booking travel, or managing work tools—all without leaving the chat window.
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Google DeepMind has developed a new AI tool called CodeMender that helps find and fix security issues in software. Over the past six months, it has submitted 72 patches to open source projects, some with millions of lines of code. The goal is to make software safer without relying only on human developers. What is
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At its recent Jamf Nation User Conference (JNUC) in Denver, the company showed it’s serious about becoming a more flexible and customizable platform. They unveiled new tools like a fresh API ecosystem, AI features, and automated update systems powered by Apple’s Declarative Device Management (DDM). This move hints at a future where device management isn’t
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AI agents are more complex than your average app. They include not just application functions but also automation, data handling, APIs, and AI models. Because of this, their nonfunctional requirements (NFRs) need to be more layered and detailed. These NFRs help ensure the system runs smoothly, securely, and responsibly. They also guide developers and teams
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Agentic AI is a new type of artificial intelligence that can learn, adapt, and even talk to other AI systems. It’s not just following set rules anymore. Instead, it acts on its own to make decisions and carry out tasks. This shift is happening fast and could change a lot about how we live and
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AI is changing fast, and one of the most exciting shifts is how AI agents learn and improve. Instead of only relying on data created by humans, these agents can now learn from their own experiences. This new approach could make digital operations smarter, faster, and more autonomous. The New Way AI Agents Learn Google’s
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European leaders are pushing hard for a major shift in how cars are made and used. Ursula von der Leyen, the head of the European Commission, recently called on EU countries to adopt an “AI-first” approach in the automotive world. She emphasized that self-driving cars should be a top priority, especially as other parts of
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Microsoft has rolled out a new open-source tool called the Microsoft Agent Framework. This software development kit (SDK) and runtime makes it easier for developers to create, manage, and deploy AI agents and multi-agent workflows. It supports both .NET and Python, two popular programming languages. The framework was announced on October 1 and is now
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Slack is rolling out some exciting new tools that will make AI more integrated into your daily work. These updates include a new real-time search API and a model context protocol (MCP) server. They’re designed to help developers build smarter AI assistants and make it easier for organizations to deploy these agents safely and efficiently.
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