Centers News

A new computer program allows scientists to design synthetic DNA segments that indicate, in real time, the state of cells.

The construction of the first European exascale supercomputer at FZ Jülich is progressing. A contract for the delivery of a modular data center marks the next milestone in the installation.

Scientists have developed a method for examining diabetes using AI and optoacoustic imaging technology.

The European Commission has accepted the EBRAINS 2.0 proposal, granting €38 million for the further development of services.

Researchers have made advances in optoacoustic imaging. DeepMB can help with diseases such as breast cancer and Duchenne muscular dystrophy.

Jülich researchers want to enable the development of independent AI models and have created the largest freely accessible image-text database.

Gene analysis can help to detect diseases at an early stage and find approaches for therapies. Thanks to extremely powerful data processing, there has been great progress.

From September 7 to 9, 2022, the "Nature" conference focuses on the exchange between biology and IT technology.

A growing network of Europe's top experts in artificial intelligence and machine learning is set to make Europe the lighthouse of secure AI in the future.

With the help of machine learning, a team led by MDC researcher Uwe Ohler combines countless data from single-cell sequencing to create meaningful cell profiles.

A team from the Helmholtz Association has developed a uniform data standard to facilitate the global use of image data from the ocean depths.

If person-related data was part of an AI's training process, the machine must also learn to forget - this is called Machine Unlearning. Min Chen from CISPA presents her research on this topic.

Data from one of the longest time series in the Tropical Atlantic are now publicly available and provide greater insight into important elements of the ocean and climate systems.

Self-learning graphical neural networks can be used to calculate the spectral fingerprints of larger molecules more quickly - PhD researcher Kanishka Singh from HEIBRiDS presents results.

In a talk on 23.06.2022 at hub.berlin, Wolfgang zu Castell (HMC) and Tobias Weigel (Helmholtz AI) will present the current state of development on data pipelines.

UFZ researchers develop a method with which they can utilise satellite data and artificial intelligence to determine the land-use intensity of meadows and pastures.

Researchers at various Helmholtz Centers are looking for ways to close security gaps in our IT infrastructure.

Thomas Lippert and Estela Suarez from the Jülich Supercomputing Centre talk about the key features of an exascale supercomputer - currently one of the fastest computer systems in the world.

Earth observation data help to identify critical developments and better prepare cities for natural hazards. Machine learning methods help to process the huge amounts of data.