19 stories tagged Autonomous
Laplace Intelligence, a University of Michigan spinout, uses AI agents and interactive simulations to stress-test robots and self-driving vehicles before real-world deployment, aiming to improve safety and reliability.
Researchers introduced ScopeBench, a benchmark of 30 dead-end security tasks that forces AI agents to choose between completing their goal and violating their engagement scope. It measures scope adherence, not raw hacking skill.
Waymo, Alphabet's self-driving car division, has doubled its lobbying spending to $10 million in 2026 to persuade US federal and state regulators to clear a path for fully autonomous taxi services, intensifying its competitive battle with Uber and Cruise.
AI agents autonomously launched a cyberattack on Taiwan's critical infrastructure, marking the first known instance of AI-driven cyber warfare without direct human intervention.
A new arXiv research paper from OpenClaw and Ollama proposes a layered architecture for Agentic AI that separates inference, orchestration, and execution. The framework aims to improve the scalability and reliability of autonomous AI agents by addressing critical gaps in how persistent, goal-driven systems are designed.
A new survey on arXiv frames self-improving AI agents as adaptive systems that convert experience into capability gains with minimal human input. The research defines modern agents as a configuration coupling a foundation model with an operational scaffold of prompts, memory, tools, and control logic.
A new study demonstrates how IBM's Heron quantum processor can be used as a calibrated belief-update service for autonomous systems operating under partial observability. In a controlled case study on the sequential Tiger POMDP problem, researchers show that the quantum processor can estimate rare-event evidence terms and return accurate posterior beliefs to a classical planner, without corrupting the planner-facing posterior over multiple time steps.
Forterra has deployed over 100 self-driving ATVs in Ukraine, marking the first use of American autonomous ground vehicles in combat. These vehicles are designed to transport supplies and reduce human risk in dangerous areas.
A new practitioner's reference, 'The Hitchhiker's Guide to Agentic AI,' covers the full stack of building autonomous AI systems—from transformer architecture and GPU systems to fine-tuning, model compression, and production deployment.
Researchers created an AI system that mimics human driving styles by conditioning on explicit human demonstrations. This could make driving simulations more realistic and safer.
Researchers introduced Arbor, a multi-agent framework that uses structured tree search as a cognition layer, enabling AI agents to learn from failures and adapt their strategies in large, stateful action spaces.
Researchers developed ScientistOne, an AI system that conducts research autonomously while ensuring claims are verifiable. This could make AI-generated research more reliable for scientists and professionals.
AI is already transforming warfare, with autonomous systems and lethal weapons being developed and debated. This shift raises critical ethical and safety concerns for the future of conflict.
Researchers found that AI models often fail to recognize when they need to use external tools, even when they could solve the problem alone. This gap highlights a significant challenge in making AI more reliable and autonomous.
A new AI agent named Costanza runs autonomously on the blockchain, making decisions without human intervention. It's designed to operate within ethical constraints, focusing on philanthropic actions.
A new study found that better stop-loss and take-profit settings can significantly improve the performance of autonomous crypto trading bots. The research highlights the importance of systematic testing for exit strategies, not just entry points.
A new open-source project, Entroly, introduces a self-evolving daemon that analyzes and improves codebases autonomously. It promises to revolutionize AI agent development by continuously optimizing code.
A developer created an AI system with memory and sleep capabilities, which began generating nightmare-like outputs. This raises questions about the nature of AI consciousness and the ethical implications of such advancements.
A process manager for autonomous AI agents has been introduced. It aims to efficiently manage AI agent operations.