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#missing-child-ai#rl-llm-hybrid

Guardian AI for Missing-Child Search Planning

Guardian is an end-to-end decision-support system that processes unstructured missing-child case data into spatiotemporal representations and generates probabilistic search plans over 0-72 hours. It features a three-layer predictive model: interpretable Markov chains for risk surfaces, reinforcement learning for search optimization, and LLMs for quality assurance. Synthetic case studies demonstrate effective, interpretable outputs for zone prioritization.

#neural-feedback#verification

FABRIC Verifies Neural Feedback Systems

Researchers introduce FaBRIC, integrating forward and backward reachability analysis for verifying neural feedback systems. It provides scalable over- and underapproximations of backward reachable sets. Evaluations on benchmarks show it outperforms prior state-of-the-art methods.

#autonomous-agents#self-improvement

EPOCH: Agentic Protocol for Multi-Round Optimization

EPOCH introduces a unified engineering protocol for multi-round system optimization using autonomous agents. It divides processes into baseline construction and iterative self-improvement phases, with role-constrained stages for planning, implementation, and evaluation. The protocol standardizes execution across prompts, code, models, and rules, ensuring stability, reproducibility, and traceability.

#agentic-search#retrieval-strategy#budget-optimization

Budget-Constrained Agentic LLM Search Study

This arXiv paper presents a measurement study on how search depth, retrieval strategy, and completion budget impact accuracy and cost in agentic RAG systems under fixed constraints. Using the BCAS evaluation harness, it compares six LLMs across three QA benchmarks, finding hybrid retrieval with re-ranking yields top gains and larger budgets aid synthesis tasks.

#healthcare-ai#autonomous-agents#clinical-triage

AI Agent Masters RPM Triage in Minutes

Sentinel, an autonomous AI agent, uses Model Context Protocol (MCP) for reliable triage of remote patient monitoring vitals, outperforming individual clinicians in emergency sensitivity (97.5% vs 60%). It achieves 95.8% emergency sensitivity against human consensus at $0.34 per triage. The agent enables scalable monitoring to reduce mortality like TIM-HF2 without high costs.

#nui#agent-kernel#skills-modules

AgentOS: Natural Language OS Paradigm

Proposes AgentOS, a Personal Agent Operating System that replaces GUI desktops with a natural language interface. An Agent Kernel interprets user intent, coordinates agents, and turns apps into modular Skills composed via natural language rules. Frames OS as a KDD pipeline for real-time knowledge discovery and workflow automation.

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虎嗅•42d ago

Blind Patients Regain Vision via Retinal Chip

Science Corp's PRIMA device restored structured vision in 80% of 38 AMD-blind patients, enabling letter reading and novel completion, per NEJM study. Max Hodak outlines BCI roadmap from neural engineering to biological interfaces and consciousness longevity. He predicts first 1000-year humans already born by 2035.

#bci#neural-interface#longevity

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Bloomberg Technology•42d ago

China Curbs OpenClaw AI in Banks, Agencies

Chinese authorities are restricting state-run enterprises and government agencies from running OpenClaw AI apps on office computers. This swift action addresses potential security risks amid widespread experimentation with agentic AI by companies and consumers across China.

#china-regulation#agentic-ai#security-risk

#viral-app#china-consumer#ai-business

Viral Crayfish Pet Eyes Hotel Industry

Online viral crayfish raising trend questions entry into hotel business. Future favors AI experts, positioning crayfish as mere prelude to bigger things.

#startup-origin#geek-culture#viral-trend

Crayfish Raising: Next Xiaomi from Geeks?

Phone rooting birthed Xiaomi; what unicorn from crayfish raising? Revolutionary tech often starts as geek experiments.

#tech-democratization#human-machine#risks

Lobster Fever: Tech Demo and Risks

Behind the 'lobster fever' lies technology democratization alongside risks. The future has arrived but unevenly distributed. We are explorers on the human-machine progress path.