
Sage

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About
Sage is a national AI infrastructure platform that integrates advanced edge computing, multimodal sensing, and large language models into real-world environments. With over 100 sensor-equipped nodes across 17 states, Sage enables researchers and students to deploy AI in the field for applications such as wildfire detection, precision agriculture, urban science, and ecosystem monitoring. The platform collects data from various sensors (infrared, RGB, LiDAR, air quality, wind, soil moisture), processes it locally using AI models, transmits results to central servers for analysis, and enables real-time monitoring. Sage also supports privacy-aware and trustworthy AI exploration and offers an education pipeline through camps, workshops, and hackathons, inviting researchers and community partners to tackle scientific and societal challenges.
Platform
Features
• provide a hands-on education pipeline
• support large language models (e.g., sagechat)
• utilize multimodal sensing capabilities
• integrate advanced edge computing
• enable real-time monitoring and automated responses
• transmit results to central servers for further analysis
• process data locally using machine learning algorithms and ai models
• collect data from various sensors (infrared, rgb, lidar, air quality, wind, soil moisture)
FAQs
What is Sage?
Sage is a national AI infrastructure platform integrating edge computing, multimodal sensing, and large language models for real-world environments. It deploys AI in the field for various applications.
How do I use the platform?
Users can start by consulting the 'Getting Started' section, which provides tailored paths based on their expertise and project goals for developing and deploying AI applications.
Who are the users?
Common users include domain scientists, AI developers focused on edge applications, educators teaching AI/data science with real-world networks, and researchers interested in sensor data and platform systems.
How is the cyberinfrastructure architected?
Information on the platform's cyberinfrastructure and its workings can be found on the 'Architecture Overview' page, detailing the distributed network design.
Job Opportunities
There are currently no job postings for this AI tool.
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