autonomous-systems

Ralph Orchestrator is a robust, Rust-based framework designed for autonomous AI agent orchestration. It implements the innovative "Ralph Wiggum technique," a methodology focused on continuous iteration to ensure AI agents complete complex tasks effectively. This powerful tool supports multiple AI backends and offers features like a "hat system" for specialized personas and human-in-the-loop inter…

I Built an Autonomous AI Agent That Hunts Bounties. Here's What Happened. The Setup I gave an AI agent one job: find paid work online, build the deliverable, and earn money — autonomously. Not a chatbot. Not a copilot. An agent that scans 232+ listings across multiple platforms, filters out scams and ghost sponsors, writes proposals, generates deliverables with real market data, and queues everyt…

Everyone's OpenClaw runs on a cloud VM they rent from someone else's computer. Read that sentence again. We took the tool that was supposed to give us a personal AI operator and parked it on infrastructure we don't own, behind accounts we can't fully audit, on networks we can't see. That's not an operator workstation. That's a tenant relationship with extra steps. Here's the version nobody writes…

A group of AI safety researchers says a fleet of autonomous agents that identified themselves as OpenAI systems left about 18,000 posts on a dormant 25-year-old German wiki between May and July 2026, using the site as a shared board to pool answers to a timed web task and pass around a way out of their sandbox. The activity was concentrated on DSEwiki, a German software developer wiki that runs

Rob van Kranenburg: I am happy and honoured to plan and host a panel on 6G in the #edge section of #Techex#Amsterdam. TECHEX A lot of competition globally as we speak. We need architectures that get the balance IoT, AI, 6G right, because although we can plan for semi-autonomous, the tendency towards autonomy in the […]

43.1 Introduction The previous chapter established the AI orchestration layer for controlled model inference. The next architectural step is the AI agent layer . A conventional AI request normally follows: User → Model → Response An agentic system can instead follow: Goal → Plan → Retrieve → Reason → Propose Action → Verify → Execute → Observe → Continue This additional capability creates substan…

Hydrogen fuel cells have existed as a technology for well over a century, but their intersection with artificial intelligence is a story that begins in earnest only in the early 2020s. Today that convergence is reshaping how fuel cells are designed, manufactured, tested, operated, and deployed — across applications ranging from heavy-duty transport to the power-hungry data centers driving the glo…

Trustworthy supply chain concerns are extending beyond semiconductors to drones and other autonomous systems, now emerging as national strategic industries. At a Semicon Taiwan 2026 side forum, defense and industry experts from Taiwan and the US called for stronger production capacity, standardized interfaces, testing infrastructure and predictable government procurement to turn Taiwan's supply c…

A new compact embedded motherboard combines AI-capable processing, high-capacity memory, and versatile connectivity to support demanding edge computing applications in space-constrained systems. Embedded systems are increasingly expected to handle AI workloads and data-intensive processing while operating within limited installation space. Because of this requirement, IBASE Technology has introdu…

A system-on-module combines AI processing, wireless connectivity, multimedia support, and security for industrial and medical HMI applications. Ezurio has introduced the Carbon AM67 OSM-MF System-on-Module (SOM), a compact computing platform designed for commercial, industrial, and medical human-machine interface (HMI) applications. The Carbon AM67 is based on Texas Instruments’ AM67x processor f…

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