CORDIS Project
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DAPHNE aims to create an open infrastructure for integrated data analysis pipelines that combines machine learning and high-performance computing. It focuses on improving productivity and interoperability across various data management systems.
Modern data-driven applications leverage large, heterogeneous data collections to find interesting patterns, and build robust machine learning (ML) models for accurate predictions.
Large data sizes and advanced analytics spurred the development and adoption of data-parallel computation frameworks like Apache Spark or Flink as well as distributed ML systems like MLlib, TensorFlow, or PyTorch. A key observation is that these new systems share many techniques with traditional high-performance compu…
KNOW-CENTER GMBH RESEARCH CENTER FOR DATA-DRIVEN BUSINESS & BIG DATA ANALYTICS
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Austria, Graz
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Switzerland, Zuerich
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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