Fraunhofer ICT Group

Suitable measurement and inspection techniques for process monitoring and quality control are still lacking in some areas of industrial manufacturing.

Invented stories, distorted facts: fake news is spreading like wildfire on the internet and is often shared on without thought, particularly on social media. In response, Fraunhofer researchers have developed a system that automatically analyzes social media posts, deliberately filtering out fake news and disinformation. To do this, the tool analyzes both content and metadata, classifying it using machine learning techniques and drawing on user interaction to optimize the results as it goes.

The Fraunhofer Institute for Digital Media Technology IDMT and the Fraunhofer Institute for Silicon Technology ISIT are presenting the first battery-powered version of an in-ear headphone with MEMS loudspeaker technology at the 45th Annual Meeting of the German Society for Acoustics (DAGA) in Rostock from 18 to 21 March. Thanks to this research success, the headphones are now ready for mobile use.

What if, instead of waiting 60 minutes for the results of a simulation, it only took 45 seconds? At Hannover Messe, Fraunhofer IGD will present RISTRA, a GPU structural mechanics solution that accelerates component simulation and optimizes the design process.

Artificial intelligence (AI) and machine learning algorithms such as deep learning are becoming integral parts of ever more areas of our lives: They enable digital language assistants or translation services, improve medical diagnostics and are indispensable for future technologies such as autonomous driving.

In the 21st century, we expect as practical application of this theory the development of quantum computers. Quantum computers will be able to break important cryptographic primitives used in today’s digital communication.

Fraunhofer IAO focuses on applications for AI in Science Year 2019

A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts.