ML deployed to fast-track industrial optimization process

Joint research project between science and industry

Thumb ticker lg feature image

An interdisciplinary team of researchers at the Max Planck Institute for Intelligent Systems, the Max Planck Institute for Solid State Research, the Technical University of Munich, and Robert Bosch GmbH deploy Bayesian Machine Learning (ML) methods to fast-track the optimization process of coating copper used in microchips. By doing so, the optimization process can be speeded up fifteenfold compared to taking a conventional optimization approach.

Thumb ticker sm metin eth vertical
Max Planck Institute for Intelligent Systems

Related Articles

Thumb ticker md csm mvl6 69265d0977

Almost 20 million for Tübingen AI Center

Permanent funding for AI competence centers in Germany
Arrow left
News event item green

Andreas Geiger wins Longuet-Higgins prize

Second high-profile award for the “KITTI Vision Benchmark”
Arrow left
Thumb ticker md imgl0231

Foundation stone laid for new Cyber Valley building

Structure to become part of the Innovation Campus in Tübingen
Arrow left