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GateChain: Blockchain for Border Control

Published:Dec 30, 2025 18:58
1 min read
ArXiv

Analysis

This paper proposes a blockchain-based solution, GateChain, to improve the security and efficiency of country entry/exit record management. It addresses the limitations of traditional centralized systems by leveraging blockchain's immutability, transparency, and distributed nature. The application's focus on real-time access control and verification for authorized institutions is a key benefit.
Reference

GateChain aims to enhance data integrity, reliability, and transparency by recording entry and exit events on a distributed, immutable, and cryptographically verifiable ledger.

Analysis

This paper addresses a crucial problem in data science: integrating data from diverse sources, especially when dealing with summary-level data and relaxing the assumption of random sampling. The proposed method's ability to estimate sampling weights and calibrate equations is significant for obtaining unbiased parameter estimates in complex scenarios. The application to cancer registry data highlights the practical relevance.
Reference

The proposed approach estimates study-specific sampling weights using auxiliary information and calibrates the estimating equations to obtain the full set of model parameters.

Technology#AI Infrastructure📝 BlogAnalyzed: Jan 3, 2026 07:21

Google Announces Cloud API Registry for MCP Server Management

Published:Dec 11, 2025 15:23
1 min read
Publickey

Analysis

Google's Cloud API Registry aims to streamline the discovery, management, and monitoring of MCP servers, crucial for AI agents interacting with external tools. This move suggests Google's continued investment in AI infrastructure and its commitment to providing tools for developers working with generative AI and AI agents.
Reference

MCP (Model Context Protocol) is generally a protocol used when generative AI and AI agents call external tools to obtain information or operate.

Research#llm👥 CommunityAnalyzed: Jan 3, 2026 16:23

Evals: a framework for evaluating OpenAI models and a registry of benchmarks

Published:Mar 14, 2023 17:01
1 min read
Hacker News

Analysis

This article introduces a framework and registry for evaluating OpenAI models. It's a valuable contribution to the field of AI, providing tools for assessing model performance and comparing different models. The focus on benchmarks is crucial for objective evaluation.
Reference