Carnegie Bosch Institute awards 2021 projects

May 10, 2021

Graphic depicting the brain in a human head with numerous numbers around it

Source: Pixabay

The Carnegie Bosch Institute recently awarded its third round of interdisciplinary projects, which were chosen for research at the intersection of modern data-driven AI and classical scientific or engineering approaches. Whereas current AI methods leverage an abundance of information to learn data-driven solutions, classical methods rely on mathematical modeling of expert knowledge derived from the laws of natural science / engineering. Hybrid models seek to bridge these two approaches (AI + classical) by incorporating both data-driven methods and knowledge of the physical world, e.g. augmenting “traditional” simulation tools with AI-driven methods.

Funded projects include: