Garp https://validator.w3.org/feed/docs/rss2.html Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language Models Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal VAMPS: Visual-Assisted Mathematical Problem Solving Benchmark Can Generalist Agents Automate Data Curation? The Saturation Trap and the Subjectivity of Intervention Timing: Why Affect-Based Triggers and LLM Judges Fail to Time Interventions on Autonomous Agents Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline The Digital Apprentice: A Framework for Human-Directed Agentic AI Development Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and Mitigation The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development? AgentJet: A Flexible Swarm Training Framework for Agentic Reinforcement Learning Beyond Prompt-Based Planning: MCP-Native Graph Planning-based Biomedical Agent System Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision Making NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devices to Cloud to Local Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligence NVIDIA Jetson Brings Agentic AI to the Physical World