With the help of AI, Landshut University of Applied Sciences wants to optimise internal company logistics and therefore increase the competitiveness of production industries in Bavaria
A project at Landshut University of Applied Sciences is developing a control system for electricity storage in order to reduce power grid losses and support the energy transition.
The clock drawing test has been used for several decades as a simple and effective means of diagnosing disruptions to spatial orientation and dementias. Scientists at the Pattern Recognition Lab at the Department of Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) fed AI neural networks with data from 2500 tests to teach them how to assess these results independently. The research findings have been published in the journal Scientific Reports. The same group also plan to launch open source software that could make diagnosing dementia much easier for medical and neuropsychological specialists
Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: They require just seconds to interpret whole-body scans of mice and to segment and depict the organs in colors, instead of in various shades of gray. This facilitates the analysis considerably.
Combining neuroscience and robotic research has gained impressive results in the rehabilitation of paraplegic patients. A research team led by Prof. Gordon Cheng from the Technical University of Munich (TUM) was able to show that exoskeleton training not only helped patients to walk, but also stimulated their healing process. With these findings in mind, Prof. Cheng wants to take the fusion of robotics and neuroscience to the next level.