ExaMode

The goal of the ExaMode project is to propose easy and fast, weakly supervised knowledge discovery of exascale heterogeneous data with limited human interaction. The project objectives include the development and release of new methods and tools for extreme-scale analytics for precise predictions, supporting decision making by industry and hospitals. The project aims to develop numerous methods combining multimodal data (e.g. whole slide images, pathology reports) to improve the capabilities of artificial intelligence-based algorithms.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 825292.

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