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 20210723 mpiis students wolfram scheible 07

Great success at NeurIPS 2022

45 papers from Cyber Valley researchers selected for AI conference
Arrow left
Thumb ticker md schokoroboter und deepfakes cover

Chocolate robots and deepfakes

New comic of the Tübingen AI Center illustrates young people’s thoughts about AI
Arrow left
Thumb ticker md jury und teilnehmer bwki 2022

BWKI honors teams of students

Germany’s up-and-coming AI talent impressed at the finals
Arrow left