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openJiuwen Community Releases ‘JiuwenClaw’: A Self Evolving AI Agent for Task Management

Over the past year, AI agents have evolved from merely answering questions to attempting to get real tasks done. However, a significant bottleneck has emerged: while most agents may appear intelligent during a conversation, they often ‘drop the ball’ when it comes to executing real-world tasks. Whether it’s an office workflow that breaks when requirements […]

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Agentic commerce runs on truth and context

Imagine telling a digital agent, “Use my points and book a family trip to Italy. Keep it within budget, pick hotels we’ve liked before, and handle the details.” Instead of returning a list of links, the agent assembles an itinerary and executes the purchase. That shift, from assistance to execution, is what makes agentic AI

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Tsinghua and Ant Group Researchers Unveil a Five-Layer Lifecycle-Oriented Security Framework to Mitigate Autonomous LLM Agent Vulnerabilities in OpenClaw

Autonomous LLM agents like OpenClaw are shifting the paradigm from passive assistants to proactive entities capable of executing complex, long-horizon tasks through high-privilege system access. However, a security analysis research report from Tsinghua University and Ant Group reveals that OpenClaw’s ‘kernel-plugin’ architecture—anchored by a pi-coding-agent serving as the Minimal Trusted Computing Base (TCB)—is vulnerable to

Tsinghua and Ant Group Researchers Unveil a Five-Layer Lifecycle-Oriented Security Framework to Mitigate Autonomous LLM Agent Vulnerabilities in OpenClaw Read More »

Nurturing agentic AI beyond the toddler stage

Parents of young children face a lot of fears about developmental milestones, from infancy through adulthood. The number of months it takes a baby to learn to talk or walk is often used as a benchmark for wellness, or an indicator of additional tests needed to properly diagnose a potential health condition. A parent rejoices

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Why physical AI is becoming manufacturing’s next advantage

For decades, manufacturers have pursued automation to drive efficiency, reduce costs, and stabilize operations. That approach delivered meaningful gains, but it is no longer enough. Today’s manufacturing leaders face a different challenge: how to grow amid labor constraints, rising complexity, and increasing pressure to innovate faster without sacrificing safety, quality, or trust. The next phase

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Building a strong data infrastructure for AI agent success

In the race to adopt and show value from AI, enterprises are moving faster than ever to deploy agentic AI as copilots, assistants, and autonomous task-runners. In late 2025, nearly two-thirds of companies were experimenting with AI agents, while 88% were using AI in at least one business function, up from 78% in 2024, according

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Pragmatic by design: Engineering AI for the real world

The impact of artificial intelligence extends far beyond the digital world and into our everyday lives, across the cars we drive, the appliances in our homes, and medical devices that keep people alive. More and more, product engineers are turning to AI to enhance, validate, and streamline the design of the items that furnish our

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Prioritizing energy intelligence for sustainable growth

Loudoun County, Virginia, once known for its pastoral scenery and proximity to Washington, DC, has earned a more modern reputation in recent years: The area has the highest concentration of data centers on the planet. Ten years ago, these facilities powered email and e-commerce. Today, thanks to the meteoric rise in demand for AI-infused everything,

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The usability imperative for securing digital asset devices

When Tony Fadell started working on the iPod, usability often trumped security. The result was an iterative process. Every time someone would find a security weakness or a way to hack the device, the development group would iterate to add measures and fix the issues. Yet, flaws would frequently be found, and the secure design

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