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Computer Science - Chemistry - 14.10.2021
Artificial intelligence helps to find new natural substances
Artificial intelligence helps to find new natural substances
Bioinformatics team develops method that enables fast and confident identification of small molecules More than a third of all medicines available today are based on active substances from nature and a research team from the University of Jena has developed a procedure to identify small active substance molecules much more quickly and easily.

Computer Science - 01.09.2021
Using machine learning to understand complex auctions
New AI algorithm as a tool for economists Using a new machine learning algorithm, a team at the Technical University of Munich (TUM) has succeeded in analyzing complex markets and their equilibrium strategies. Until now, such analyses were limited to very simple auction markets. The new numerical method opens up new possibilities for economic theory and new applications as in wireless spectrum auctions, among others.

Computer Science - 04.08.2021
A post-quantum chip with hardware trojans
A post-quantum chip with hardware trojans
Chip with secure encryption will help in fight against hackers A team at the Technical University of Munich (TUM) has designed and commissioned the production of a computer chip that implements post-quantum cryptography very efficiently. Such chips could provide protection against future hacker attacks using quantum computers.

Computer Science - 01.06.2021
Precise data for improved coastline protection
Precise data for improved coastline protection
First comprehensive measurements of sea level changes in the Baltic Sea and the North Sea Researchers working under the leadership of the Technical University of Munich (TUM) have conducted the first precise and comprehensive measurements of sea level rises in the Baltic Sea and the North Sea. A new method now makes it possible to determine sea level changes with millimeter accuracy even in coastal areas and in case of sea ice coverage.

Health - Computer Science - 27.04.2021
Visual analysis for medicine
Visual analysis for medicine
Cancer, Alzheimer's, diabetes or cardiovascular diseases are what are known as non-communicable diseases, which are responsible for the majority of deaths worldwide - in Germany, an estimated 91 percent of all deaths are the result of these diseases, and it is a rising trend. Epidemiologists have been studying the development and distribution of these epidemiological diseases, as well as the measures to combat them and what their social consequences are.

Chemistry - Computer Science - 27.04.2021
Towards new solar cells with active machine learning
Towards new solar cells with active machine learning
Fewer requirements let artificial intelligence discover new materials A research team from the Technical University of Munich (TUM) and the Fritz Haber Institute in Berlin uses active machine learning in the search for suitable molecular materials for new organic semiconductors, the basis for organic field effect transistors (OFETs), light-emitting diodes (OLEDs) and organic solar cells (OPVs).

Computer Science - Mechanical Engineering - 26.04.2021
New PP: Daring More Intelligence
Date: April 26, 2021, No. 31 DFG approves new priority program coordinated by the University of Stuttgart Design Assistants in Mechanics and Dynamics are the topic of a new priority program (PP) of the German Research Foundation (DFG) that aims to bring more artificial intelligence (AI) into the design process of technical systems.

Life Sciences - Computer Science - 07.04.2021
Using AI to Diagnose Neurological Diseases Based on Motor Impairment
New Heidelberg approach: analysing movement patterns through machine learning The way we move says a lot about the state of our brain. While normal motor behaviour points to a healthy brain function, deviations can indicate impairments owing to neurological diseases. The observation and evaluation of movement patterns is therefore part of basic research, and is likewise one of the most important instruments for non-invasive diagnostics in clinical applications.

Life Sciences - Computer Science - 18.02.2021
Artificial intelligence deciphers genetic instructions
Artificial intelligence deciphers genetic instructions
Deep learning algorithms reveal the rules of gene regulation With the help of artificial intelligence (AI) a German-American team of scientists deciphered some of the more elusive instructions encoded in DNA. Their neural network trained on high-resolution maps of protein-DNA interactions uncovers subtle DNA sequence patterns throughout the genome, thus providing a deeper understanding of how these sequences are organized to regulate genes.

Physics - Computer Science - 02.02.2021
EU project on development of high-performance photonic processors gets started
EU project on development of high-performance photonic processors gets started
Artificial intelligence (AI) is seen as a key technology with fields of application in a wide variety of areas in society. However, researching, developing and, in particular, using AI systems presents enormous challenges for the computing power and storage capacity needed to process large data volumes.

Life Sciences - Computer Science - 08.01.2021
Schüler und Studierende bauen CERN-Detektor mit Lego nach: Online-Workshop
Spatial and temporal distribution of primordial germ cells (stained in red) in zebrafish embryos. Normally, with the help of an attractant produced in the environment, the cells migrate in a targeted and coordinated manner through the developing embryo and reach the regions where the sex organs are formed (left).

Computer Science - Physics - 06.01.2021
"Wichtig sind Neugier und Interesse, alles andere kann man lernen"
In the digital age, data traffic is growing at an exponential rate. The demands on computing power for applications in artificial intelligence such as pattern and speech recognition in particular, or for self-driving vehicles, often exceeds the capacities of conventional computer processors. Working together with an international team, researchers at the University of Münster are developing new approaches and process architectures which can cope with these tasks extremely efficient.