Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature, the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.
Sensors in electronic devices work with high-frequency signals. For maximum accuracy in the measurements, the parametric amplification effect is used. Researchers at the Technical University of Munich (TUM) are investigating how this effect can significantly expand the functionality of sensors. Possible applications include improved location positioning with microelectromechanical sensors like those used in smartphones.
Due to the special way they function, quantum computers will be capable of breaking current encryption methods. A competition initiated by the US federal agency NIST aims to change this. It is seeking algorithms that will successfully resist cyber attacks from quantum computers. However, it has become evident that it will be far from simple to develop suitable cryptographic schemes. Researchers at the Technical University of Munich (TUM) have submitted two proposals to the NIST competition. They feel optimistic about their results.
Specific nerves may be stimulated artificially, for example to treat pain. The finer the nerves, the more difficult it is to attach the required electrodes. Researchers at the Technical University of Munich (TUM) and NTT Research have now developed flexible electrodes produced with 4D printing technology. On contact with moisture, they automatically fold and wrap themselves around thin nerves.
A transformation of the energy supply that replaces fossil fuels with renewable energy sources requires new powerful technologies for storing electricity generated by the sun and wind. One promising technology is Carnot batteries, which temporarily store electricity in the form of heat. A new project of the Chair of Technical Thermodynamics and Transport Processes (LTTT) in the Center of Energy Technology (ZET) at the University of Bayreuth is investigating optimal working fluids for these energy systems. As part of the DFG Priority Programme 2403 "Carnot batteries: Inverse design from markets to molecules", it will initially be funded for three years with a total of around 298,000 euros.
- The AI requirements of classical robotics are more complex than language. - In environments where safety is a concern, regulation is important. - TUM ethics professor Alena Buyx: societies have the right to actively shape the use and regulation of technologies. - Prof. Klaus Diepold has doubts about the intelligence of ChatGPT. ChatGPT can make programming more efficient, write texts, act as a brainstorming partner or create design proposals. But when it comes to the deployment of generative artificial intelligence in the physical world of robotics, researchers at the Technical University of Munich (TUM) are cautious.
The Technical University of Munich (TUM) is among the best universities in the world for preparing students for the digital economy. In the latest edition of the Digital Leaders in Higher Education rankings, it placed 11th overall. In the management studies category, TUM holds the number one position worldwide. It ranks third for entrepreneurship programs and fourth in computer science.
Ceramic matrix composites are characterized by their ability to withstand very high operating temperatures and shock-like temperature changes and also by the fact that they are not susceptible to wear. Automating a fiber spraying process for the production of oxide ceramic matrix composites and at the same time making it highly flexible is the goal of a new project involving computer science and engineering at the University of Bayreuth. Intuitive robot programming is intended to enable companies to manufacture short-fiber-reinforced oxide ceramic components on demand, even in very small batches. The "FlexFiber" project is being funded by the DFG with a total of around 700,000 euros.
The University of Bayreuth is participating in the DFG priority programme "Data-driven process modeling in forming technology" with a new interdisciplinary research project. The project is concerned with two processes that are intertwined in the industrial production of many functional components: shear cutting and collar drawing. The latest data analysis technologies and process chain modeling approaches are intended to ensure efficient and robust production. The project is managed by Prof. Dr. Agnes Koschmider, a process analytics specialist from Bayreuth, and Prof. Dr.-Ing. Verena Kräusel from the Fraunhofer Institute for Machine Tools and Forming Technology (IWU) in Chemnitz.
Growing electromobility poses new challenges for the infrastructure: Stations for charging batteries must be optimally integrated into the stationary energy network available on site. A comprehensive charging concept for different vehicle types is necessary. The goal of the joint project "eMobiGrid", in which the University of Bayreuth, three medium-sized companies and the Fraunhofer-Gesellschaft are working closely together, is to develop practical solutions for these challenges and thus accelerate the traffic turnaround. The German Federal Ministry of Digital and Transport (BMDV) is funding the project with a total of around three million euros for three years.
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