关键词 "Scientific articles" 的搜索结果， 共 19 条, 只显示前 480 条
PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
This is an experimental project to integrate Playwright with MCP. My plan is to conduct in-depth research, understand the intricacies of the integration, and review the best articles on the web to cre
🔗 Model Context Protocol (MCP) Server for retrieving saved articles from Pocket API and loading them into Claude
A modular, extensible Model Context Protocol (MCP) server for NTeALan REST APIs dictionaries and contributions. This project provides a unified interface for managing dictionary data, articles, and us
An example MCP Server utilising FastMCP and feedparser to inject BBC articles into Claude Desktop
MCP server for news articles using the Webz.io API
A simple MCP server for search news articles
This project is a Model Context Protocol (MCP) server that integrates with the Space Flight News API to provide up-to-date spaceflight-related news articles.
MCP server for search in sintific resources. vibe coded by ai for ai.
An MCP server that delivers blockchain news and in-depth articles from BlockBeats for AI agents.
Open Source MCP Servers for Scientific Research
MCP server that uses arxiv-to-prompt to fetch and process arXiv LaTeX sources for precise interpretation of mathematical expressions in scientific papers.
An MCP (Model Context Protocol) server that fetches and summarizes Wikipedia articles using Ollama LLMs, accessible via both command-line and Streamlit interfaces. Perfect for quickly extracting key i
🔍 Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.
The MATLAB MCP server provides AI users with powerful scientific computing and data analysis capabilities. It allows users to execute MATLAB code directly in conversations, generate MATLAB scripts fro
A MCP server to search for accurate academic articles.
Dive3D是北京大学和小红书公司合作推出的文本到3D生成框架。框架基于分数的匹配（Score Implicit Matching，SIM）损失替代传统的KL散度目标，有效避免模式坍塌问题，显著提升3D生成内容的多样性。Dive3D在文本对齐、人类偏好和视觉保真度方面表现出色，在GPTEval3D基准测试中取得优异的定量结果，证明了在生成高质量、多样化3D资产方面的强大能力。 Dive3D的项目
DAMO GRAPE是浙江省肿瘤医院与阿里巴巴达摩院联合推出的全球首个基于平扫CT识别早期胃癌的AI模型。DAMO GRAPE突破传统影像学限制，基于深度学习分析非增强CT影像，实现对胃癌的高效筛查。在大规模临床研究中，DAMO GRAPE展现出85.1%的敏感性和96.8%的特异性，显著优于人类放射科医生。模型能提前6个月发现早期胃癌病灶，为胃癌的早期诊断和治疗提供新的高效手段，有望大幅提高胃癌
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