关键词 "institutional activity" 的搜索结果， 共 22 条, 只显示前 480 条
Personalized day-to-day travel itineraries powered by AI
Secure collaborative web terminal.
Boost LinkedIn engagement with AI comments, Dwell Time, and Real-time Analytics.
AI-powered analytics app for software development contributions.
Analytic tool for natural language data interaction
Roobin is an AI-powered task organizer and Chat GPT integration for instant answers and task delegation through WhatsApp.
Maximize your LinkedIn activity with AI-powered tools.
Socratic: AI-based project management tool boosts software team's efficiency.
Voicefy converts text into realistic speech, maximizing accessibility and interactivity of content.
Flowpoint helps website conversions, solutions, and ROI with AI-driven analytics.
Create personalized bedtime stories for kids with Oscar Stories, an AI-powered app.
AI-powered platform to boost sales
Cradle platform speeds up protein design with AI algorithms. 重点领域：治疗学、诊断学、食品、化学品和农业 主要合作伙伴：诺和诺德、强生、Grifols 和 Twist Biosciences 最新消息：B 轮融资7300 万美元 Cradle Bio 使用生成式 AI 帮助生物学家设计改良蛋白质
Generates a secure, shareable URL for any AI-created visual content (charts/dashboards/HTML) with preserving full interactivity, support Claude, DeepSeek, Grok, Gemini, etc.
Enhanced MCP server for GitLab: group projects listing and activity tracking
Roo Code/Clineにアクティビティを記録させるmcp-server
An MCP server leveraging the Skate AMM SDK & Goat SDK - powering DeFi activity
This MCP server provides access to information about the Dominican Congress, including legislative agendas, legislator activity, and new bills.
DexPaprika MCP server allows access real-time and historical data on crypto tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring m
A complete walkthrough on how to build an MCP server to serve a trained Random Forest model and integrate it with Bee Framework for ReAct interactivity.
Model Context Protocol server for ActivityWatch time tracking data
ViLAMP（VIdeo-LAnguage Model with Mixed Precision）是蚂蚁集团和中国人民大学联合推出的视觉语言模型，专门用在高效处理长视频内容。基于混合精度策略，对视频中的关键帧保持高精度分析，显著降低计算成本提高处理效率。ViLAMP在多个视频理解基准测试中表现出色，在长视频理解任务中，展现出显著优势。ViLAMP能在单张A100 GPU上处理长达1万帧（约3小时）
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