Anatomical Therapeutic Chemical Classification System
PulseAugur coverage of Anatomical Therapeutic Chemical Classification System — every cluster mentioning Anatomical Therapeutic Chemical Classification System across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New 3D-USE framework enhances underwater scene reconstruction
Researchers have developed a novel two-stage framework called 3D-USE for enhancing underwater 3D scene reconstructions. This method first establishes a medium-aware Gaussian scene representation using Medium Radial Basi…
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AI security audit balances strictness and performance with layered approach
This article details a strategy for balancing strictness and performance in security audits for large-scale MCP server deployments. The approach divides audits into static and dynamic layers, with static checks performe…
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AI agents use dynamic trust verification with policy enforcement
The author is discussing dynamic trust verification for AI agents, particularly in production environments. They propose a "certificate → policy → enforcement" stack, where an Agent Trust Card (ATC) acts as a cryptograp…
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Agent Trust Card system fixes bugs, enhances security against key compromise
The author addresses feedback on the Agent Trust Card (ATC) system, detailing fixes for canonicalization bugs that affected signature verification. The system now uses RFC 8785 for JSON Canonicalization Scheme, ensuring…
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MarketNow details security architecture feedback and enhancements
The author is responding to security feedback regarding MarketNow's security architecture, specifically addressing concerns about layered defense, runtime enforcement, and tool-surface governance. Key points include the…
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New framework combines human judgment and AI scores for better assessments
Researchers have introduced Aggregate-then-Calibrate (AtC), a novel two-stage framework designed to improve human-centered assessment tasks. This method combines heterogeneous human judgments, accounting for annotator r…
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New framework combines human judgment and AI scores for better assessments
Researchers have introduced Aggregate-then-Calibrate (AtC), a novel two-stage framework designed to improve human-centered assessment tasks. This approach addresses the limitations of relying solely on human judgments o…
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L3 system detects security drift in MCP servers via continuous re-auditing
L3, a continuous monitoring system, addresses the gap between point-in-time security certifications and real-time attacks for MCP servers. It re-audits skills weekly using GitHub Actions, comparing runtime behavior agai…
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MarketNow adds A2A support, agent analytics, and prompt injection defense
MarketNow has released three new features to enhance its agent trust platform. The platform now supports Google's A2A protocol by issuing an Agent Trust Card (ATC) with a Sentinel score, complementing A2A's communicatio…
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OntoBook method enhances medical encoder pretraining with synthetic textbooks
Researchers have developed OntoBook, a novel method for pretraining encoder language models using synthetic medical textbooks. This approach converts medical ontology structures into text, which is then used to train mo…
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Agent Trust Card system addresses security feedback with bug fixes and runtime trust plans
The developer of the Agent Trust Card (ATC) system is addressing feedback regarding its security pipeline. Key updates include fixing a canonicalization bug that affected nested object sorting in JSON payloads, implemen…
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New MCP server integrates 7 medical terminologies for LLMs
A new Model Context Protocol (MCP) server called medical-terminologies-mcp has been released, providing unified access to seven major medical terminology systems. This tool is designed to help Large Language Models (LLM…