关键词 "BD summary" 的搜索结果， 共 24 条, 只显示前 480 条
Summary: Faraday.dev is an offline desktop app for AI chat characters, ensuring data privacy.
Summary: RTutor is an AI-based app for data analysis using natural language.
AI-powered tool that summarizes videos quickly.
Summarist.ai generates book summaries in under 30 seconds using AI.
Summarize text in one click
Summary: Alle-AI is a comprehensive AI platform with various cutting-edge AI models.
Insanely fast blogging platform with built-in best practices.
Powerful podcast transcription and summarization tool.
Mindgrasp AI creates accurate notes and quizzes from different content types to aid learning and productivity.
Summary: Sybill is an AI assistant for sales teams, automating CRM updates, generating call summaries, and providing insights from customer interactions.
Summary: Pico is a user-friendly website builder that enables easy creation and customization of websites without coding skills.
Summary: Datature is an AI platform enabling code-free computer vision application development.
Scholarcy is an AI tool that converts articles into summarized flashcards for quick assessment.
A free online tool that uses AI to summarize and condense text into key points. TLDR this 是在线文章摘要工具，基于AI技术自动将长篇文本简化为易于理解的摘要。用户输入文章链接或粘贴文本，获得一键式摘要服务，摘要的长度根据用户的需求进行调整。TLDR this提供浏览器扩展，支持元数据提取和无干扰阅读体验，帮
Summary: Wonder Dynamics automates animation and composition of CG characters in live-action scenes without motion capture or expensive production equipment.
Summary: PDF.ai is a ChatPDF app that enables users to chat with PDFs, ask questions, get summaries, and find information easily.
Summary: AIPRM is a prompt management tool and community-driven prompt library for generative AI.
Summary: CapSolver is an AI-powered captcha solving service that supports multiple types of captchas.
Free summary generator for any text.
Free Live Chat Software for websites
Aignostics公司发布了目前最大规模的腹部CT数据集AbdomenAtlas。该数据集涵盖了广泛的人群特征及多种设备类型，共收录了来自112家医疗机构的20,460例三维CT影像。研究团队由10名放射科医生组成，采用人工智能辅助标注方法，完成了67.3万个高质量解剖结构掩码的标注工作。他们首先对5,246例影像中的22种解剖结构进行人工标注，随后利用半自动化流程，由放射科医生优化模型预测的标
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