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32 articles
This article explains how Agent-net's open-source Webagent harness transforms websites into guarded AI agents, enabling secure agent-to-agent interactions in a decentralized marketplace.
This article explains the advanced AI concepts behind GPT-6 Astra, an autonomous AI system that controls drones and manages business operations, highlighting its multimodal capabilities and implications for AI development.
This explainer explores OpenAI's Agents API, a powerful infrastructure for building autonomous AI systems that can execute complex workflows, reason about multi-step tasks, and interface with external computational resources.
Researchers from Princeton, Ant Group, and Stanford introduce AQuA, a two-part agentic framework designed to enhance the integrity of quantitative finance models by addressing bias in autonomous factor discovery and model development.
This article explains why current AI systems lack temporal awareness, how this affects their performance in autonomous tasks, and why temporal reasoning is crucial for reliable AI deployment.
An OpenAI researcher warns that ultrafast AI models could outpace human security teams, calling for autonomous shutdown systems to counteract this threat. The warning coincides with OpenAI's unveiling of a new, high-speed AI chip.
Microsoft's open-sourced code-testing-generator demonstrates advanced AI agent capabilities in automated unit test generation, achieving superior performance over standard code completion tools through context-aware planning and multi-language adaptation.
This explainer explores the concept of autonomous AI agents, examining how advanced AI systems can operate independently, make decisions, and interact with external environments without continuous human oversight. It covers the technical foundations and regulatory implications of this emerging technology.
This article explains how autonomous control systems in robotics work, focusing on how companies like Gravis Robotics are integrating AI and sensor technologies into heavy machinery. It explores the technical components and strategic importance of this advancement.
This article explains how artificial intelligence enables uncrewed surface vessels to operate autonomously in maritime environments, examining the technical challenges and strategic implications of this defence technology.
This article explains the concept of trustworthy AI agents, focusing on the principles of identifiability, accountability, and alignment, and why these are critical for the future of AI systems.
This explainer explores the concept of 'looping AI' - a revolutionary approach where multiple AI agents continuously interact in feedback cycles, enabling autonomous self-improvement and adaptation in dynamic environments.
