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Computing with Uncertainty

2017

MPI Year Book


Machine learning requires computer hardware to reliable and efficiently compute estimations for ever more complex and fundamentally incomputable quantities. A research team at MPI for Intelligent Systems in Tübingen develops new algorithms which purposely lower the precision of computations and return an explicit measure of uncertainty over the correct result alongside the estimate. Doing so allows for more flexible management of resources, and increases the reliability of intelligent systems.

Author(s): Hennig, Philipp
Year: 2017

Bibtex Type: MPI Year Book (mpi_year_book)

DOI: 10.17617/1.54
URL: https://www.mpg.de/10994958/mpi-mf_jb_2017?c=11741001

BibTex

@mpi_year_book{year_book_hennig_2017,
  title = {Computing with Uncertainty},
  author = {Hennig, Philipp},
  year = {2017},
  url = {https://www.mpg.de/10994958/mpi-mf_jb_2017?c=11741001}
}