news 2021


Computer Science

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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.

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