AI & Data Analytics

AI & Data Analytics

The MPCDF provides end-to-end solutions on HPC systems for artificial intelligence (AI), machine learning (ML) and high performance data-analytics (HPDA) for Max Planck scientists. This ranges from the integration of the infrastructure (such as Jupyter notebooks, remote visualization services, support of Apache Spark, ...) into the HPC system, the provisioning of  HPC optimized software (like various frameworks for deep learning and AI), as well as dedicated high-level project support in close collaboration with MPG research groups. Project support comprises of the consulting on state of the art techniques, of the development and optimization of data analytics (especially deep learning and AI) solutions.

Support

For dedicated project support, please contact (HPDA)

Excerpt of data analytics projects

  • 3D segmentation of histology data (MPI for Human Cognitive and Brain Sciences, Leipzig)
  • Deep-Prior for denoising of MRI images (MPI for Human Cognitive and Brain Sciences, Leipzig)
  • Next generation sequencing at scale (MPI for Biology of Ageing, Cologne)
  • 2D and 3D segmentation of cellular structures (BigMax and MPI of Colloids and Interfaces, Potsdam)
  • Particle track reconstruction (MPI for Physics, Munich)

 

People

Members of the AI & HPDA division

  • Dr. Andreas Marek (leader)
  • Dr. Timoteo Colnaghi
  • Dr. Piero Coronica

Members of other divsions working partly in the AI & HPDA division

  • Dr. Michele Compostella (System Operations division)
  • Dr. Nicolas Fabas (Data Services division)
  • Dr. John Alan Kennedy (Data Services division)

Former members of the data-analytics group

  • Dr. Giuseppe di Bernardo (Industry)
  • Dr. Pavel Kus (University of Praque)
  • Dr. Luka Stanisic (Industry)

Talks and Trainig Material

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