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AI

Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution

Researchers have developed a system called Aegis to govern the actions of agentic AI systems. These ...

Aug 19 🗳️ 0
AI

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

Researchers have found that including a 'reasoning-effort term' in an AI model's contract can lead t...

Aug 19 🗳️ 0
AI

FedPref: Federated Preference Learning for Structured Radiology Report Extraction

Researchers have developed a new method for extracting structured information from radiology reports...

Aug 19 🗳️ 0
AI

The Problem Is the Problem: Towards Scalable Mathematical Discovery

Researchers propose a new approach to AI-assisted mathematical discovery. Instead of selecting probl...

Aug 19 🗳️ 0
AI

SkillEffect: Checked Lowering for Memory-Bounded Agent Tools

Researchers have developed a system called SkillEffect to help language models m...

AI

Memory Is Communication: The Frontier Between Remembering and Signaling

Researchers propose a new framework to understand how agents allocate informatio...

AI

DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization

Researchers have proposed a new defense mechanism called DiSCO to prevent text-t...

AI

KernelArc: A Multi-Agent Framework for GPU Kernel Optimization

Researchers have developed KernelArc, a framework for optimizing GPU kernels acr...

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