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Past due
Milestone expired on Jul 1, 2021

Stage 5

  • Development and research of methods and algorithms for multi-modal training of composite models, including training on text, images, time series, and tabular data; and development of effective tools for their application within the framework of the framework.
  • Designing and investigating methods and algorithms for multi-modal learning of composite models, including multi-modal composite models; and developing effective tools for their application within the framework.
  • Prototyping acceleration of computation and data handling by switching to technologies that enable optimized data processing (e.g., Rapids, Apache Arrow), and support for hybrid (CPU + GPU) modes
  • Development of optimized templates for popular types of tasks and data (optimization for work with tabular data, text, images, time series, etc.).
  • Support of extended functionality of "raw" data preprocessing modules in terms of integration with modern libraries for feature selection, data conversion, anomaly search, etc. for multi-modal data.
  • Development of a set of ready-made examples of FEDOT usage for different subject areas: oil, geo-data, finance, etc.