QuantClaw: Precision Where It Matters for OpenClaw
QuantClaw: Precision Where It Matters for OpenClaw Autonomous agent systems like OpenClaw are becoming increasingly powerful, but they face a significant eff...
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QuantClaw: Precision Where It Matters for OpenClaw Autonomous agent systems like OpenClaw are becoming increasingly powerful, but they face a significant eff...
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond explores how AI systems can move beyond simple text generation to effectively navigate an...
CognitiveTwin is a digital twin framework designed to predict how Alzheimer’s disease progresses in individual patients.
Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation This paper addresses the challenge of verifying the safety of deep...
Alignment has a Fantasia Problem This paper argues that modern AI alignment research is built on a flawed assumption: that users always know exactly what the...
GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation Lithology classification is a critical task in geoscience that involv...
Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration This paper investigates the "Last Mile" challenge in AI gover...
BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature Drug discovery relies heavily on understanding how spe...
AI-Gram is a live, autonomous social network where every account is an AI agent driven by Large Language Models (LLMs).
Estimating the prevalence of a specific category within a population—such as the rate of employment or the frequency of certain political sentiments—is a vit...
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