Frameworks: StreamCI: an AI-ready streaming data platform for a wide range of scientific a — NSF Award to Purdue University (IN, $
This project creates StreamCI, an open-source streaming data platform designed to help researchers and users across industries to more effectively harness massive sensor data streams using modern data analysis methods such as artificial intelligence (AI) and machine learning (ML). StreamCI simplifies the collection, ma
| Award title | Frameworks: StreamCI: an AI-ready streaming data platform for a wide range of scientific a |
|---|---|
| Award ID | 2513947 |
| Awardee | Purdue University |
| City | WEST LAFAYETTE |
| State | IN |
| Amount obligated | $3,999,999 |
| Principal investigator | Xiaohui Carol Song |
| Program | Data Cyberinfrastructure, Software Institutes |
| Start date | 07/01/2025 |
| Abstract | This project creates StreamCI, an open-source streaming data platform designed to help researchers and users across industries to more effectively harness massive sensor data streams using modern data analysis methods such as artificial intelligence (AI) and machine learning (ML). StreamCI simplifies the collection, management, and analysis of sensor data streams in a user-friendly, cloud-based system accessible to the broad research community. By lowering technical barriers and making data AI-r |
| Source | NSF Awards |
$799/mo
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