Grants

This project continuously produces exascale volumes of diverse data from distributed sources. The quantity of healthcare data especially stands out, with expected production over 2000 exabytes by 2020). It also stands out due to heterogeneity (many media, acquisition methods), included knowledge (e.g., diagnosis), and commercial value. The supervised nature of deep learning models requires large data that is labeled and annotated, which precludes models that extract knowledge and value. EXAMODE solves this by allowing easy, fast, and weekly supervised knowledge discovery of exascale heterogeneous data, limiting human interaction.

The EXAMODE project has received funding from the European Union through the Horizon 2020 framework.

More details at https://www.examode.eu

Clinical laboratories and R&D departments produce and analyze massive amounts of microscopic image data. During this project, MicroscopeIT provided prototypes to its partners for computations in a Software-as-a-Service (SaaS) model. Our partners included OptaTech BB (Berlin), the University of Zurich (Zurich), and Nikon (Zurich).

The Fortissimo project has received funding from the European Union's Seventh Framework Programme for research, technological development, and demonstration under grant agreement No. 609029.

More details at https://www.fortissimo-project.eu/experiments/608