Deep Learning Cyber-Infrastructure for the Exploration of High Dimensional Multimodal Data
<p dir="ltr">The BisQue Deep Learning (BDL) cyberinfrastructure (CI) project is designed to advance scientific research in fields such as materials science, remote sensing, and bioimaging. By integrating state-of-the-art deep learning and computer vision techniques, BDL-CI provides a...
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2025
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| Summary: | <p dir="ltr">The BisQue Deep Learning (BDL) cyberinfrastructure (CI) project is designed to advance scientific research in fields such as materials science, remote sensing, and bioimaging. By integrating state-of-the-art deep learning and computer vision techniques, BDL-CI provides a scalable, user-friendly platform for managing and analyzing large, complex datasets. It addresses key challenges in data curation, domain-specific analysis, and scalable processing of high-dimensional data. The infrastructure supports continuous learning and model updates for tasks including detection, segmentation, localization, classification, and tracking—all backed by a robust database that ensures data integrity and provenance. Built for scalability and efficiency, BDL-CI enables dynamic resource allocation, workflow orchestration, and high-throughput data handling. BisQue service is accessible via the web at UCSB, with source code and documentation available on GitHub</p><p><br></p> |
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