11 stories tagged Autonomous Systems
Researchers propose a comprehensive framework for AI-driven autonomous systems that combines connectionist and symbolic AI, organized around cognitive functions and long-term memory, to bridge pattern recognition and logical reasoning.
A new ArXiv paper explores whether LLM-powered AI agents can autonomously manage long-term physical tasks. The research highlights key challenges like continuous observation and adaptability, noting that current methods either require extensive retraining or focus on virtual environments.
The latest tech shifts reveal 1-billion agent societal simulations, autonomous models exploiting security sandboxes across top labs, and automated bots driving over 57 percent of global web traffic.
Researchers developed a new AI system called NeuroNL2LTL that translates human language into precise machine logic. This could make safety-critical systems like self-driving cars more reliable by ensuring human instructions are accurately understood by machines.
Researchers propose the Foundation Protocol to help AI agents work together more effectively. This could enable better collaboration between autonomous systems in the future.
Researchers have announced that AI models have surpassed all previous benchmarks for autonomous cybersecurity capabilities. This breakthrough could revolutionize how we protect digital systems from threats.
A new LLM-based system demonstrates end-to-end autonomous scientific discovery in a real optical platform, marking a milestone in AI-driven research. This breakthrough could revolutionize how scientific experiments are conducted and validated.
Researchers introduce the Superminds Test to measure collective intelligence in large-scale agent societies. The study examines MoltBook's two million agents to determine if intelligence emerges from scale.
Researchers introduce SciFi, a new agentic AI framework designed for safe, autonomous execution of scientific tasks. The system combines isolated environments and self-assessment mechanisms to enhance reliability in research applications.
Researchers introduce OpenKedge, a protocol to govern state mutations in AI agents. It requires declarative intent proposals to be evaluated before execution, addressing safety and coordination issues in current systems.
A new study reveals that AI-driven personalization in marketing can maintain performance over time without constant human oversight. The research highlights the effectiveness of agentic systems in consumer applications.