Information Field Theory Group (T. Enßlin)
- A short descriptive name, e.g. "Arbeitsgruppe Kasieczka" or "Röntgenphysik Göttingen"
Information Field Theory Group (T. Enßlin)
- The full name of the group and it's affiliation, with different hierarchy levels on individual lines, e.g: "group name <new line> institute name <new line> university name"
Information Field Theory Group (T. Enßlin)
Max-Planck-Institute for Astrophysics- A link to the group's homepage.
- https://wwwmpa.mpa-garching.mpg.de/~ensslin/#Highlights
- A more detailed description of the group, their topics and interests.
Information field theory (IFT) is information theory, the logic of reasoning under uncertainty, applied to fields. A field can be any quantity defined over some space, e.g. the air temperature over Europe, the magnetic field strength in the Milky Way, or the matter density in the Universe. IFT describes how data and knowledge can be used to infer field properties. Mathematically it is a statistical field theory and exploits many of the tools developed for such. Practically, it is a framework for signal processing and image reconstruction.
High Energy Astrophysics: Loosly connected research lines on machine learning, information theory, as well as artificial and other intelligence. Learning Machines better reason according to logic. If uncertainties are involved, this should be extended, probabilistic, or Bayesian logic. The same is true for any form of intelligence, whether of human, artificial, or other nature.
- Select the applicable.
- Optional. Further details regarding cooperation.
