
Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Hessian scientists of various disciplines are using High Performance Computers for their research.
Displaying 1 - 9 of 9
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
A decisive property of centrifugal compressors for turbochargers is the map width, which defines the area of the ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
The fluid temperatures in the high-pressure turbine of a commercial jet engine or industrial gas turbine by far exceed ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
The flow conditions at the combustor turbine interface (CTI) have a significant role in the development process of ...