News

Engineer and computer scientist Narges Ahmidi has had to overcome a few hurdles since she began studying science in her native Iran. Today, she is working in Munich to optimize medical decisions with artificial intelligence (AI).

She combines climate models and observational data to better understand and predict climate change: Now, Veronika Eyring, physicist at the German Aerospace Center (DLR), was awarded the prestigious Leibniz Prize.

Deciphering the gene regulatory codes in our cells could improve the treatment of numerous diseases such as cancer or rheumatism in the future. MUDS doctoral researcher Laura Martens wants to contribute to this with her data science expertise.

A precise understanding of the human genome can help to better understand the development of diseases. Manolis Kellis from MIT explains how insights from AI can be used to treat some diseases in the future. A video podcast.

HIDA and the Academy for Theater and Digitality Dortmund jointly announce a research fellowship for artists, technicians, and scientists who want to work at the intersection of digital art and cutting-edge digital research.

Diabetes is still incurable. But with the help of data science, this could soon change. At MUDS, Karin Hrovatin is researching the cells involved in insulin production. The goal is to stimulate hormone production again in the future.

Every day over 21 terabytes of data are streamed from Earth observation satellites to DLR’s Earth Observation Center (EOC). There, they are processed into image and information products for use in research - today with the help of AI.  

Efficient job killer? AI simplifies business processes in the economy, but also changes the way people work. A new project at KIT investigates how people can remain at center stage even when using AI technologies, taking the energy industry as an example.

In Hamburg, the spotlight is on Data Science: Following the award of the North German Science Prize 2020 to DASHH, the highly qualified education at the graduate school is now strengthened by a further cooperation with HAW Hamburg.

The Karlsruhe Institute of Technology will become a Center for National High Performance Computing. All over Germany, scientists will then be able to use the computing power of KIT - and benefit from even more powerful computers in the future.

Congratulations! The North German Science Award 2020 goes to the Graduate School DASHH Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter. The prize is endowed with 125,000 euros and is awarded every two years.

At the German Cancer Research Center, HIDSS4Health-researcher Paula Breitling contributes to the development of a software that aims to help doctors recommend appropriate therapies. This could allow more patients to benefit from custom-fit treatment.

How can supercomputers support our life and work in the future? Watch a video clip about these special machines available to researchers at the Jülich Supercomputing Center and how their computing power can help shape our digital future.

For the development of new drugs it is important to know how biomolecules, for example viruses, are structured. The bioinformatician Anna Theresa Cavasin wants to use data science to optimize cryoelectron microscopy images.

How can a strong AI ecosystem be realized on a European level? The Helmholtz Office Brussels discussed research and innovation activities in the field of artificial intelligence in the European Union: "AI in the green digital age: Quo vadis?"

Fabian Theis is Director at the Institute of Computational Biology at the Helmholtz Zentrum München and explores the secrets of human cells - with the help of AI. Among other things, he has investigated what corona viruses cause in the body. 

The challenges of climate change are great - also for research. At the HIDA Datathon for Grand Challenges on Climate Change, participants from all over the world were able to demonstrate how data science can be used to find solutions to climate change issues.

Even small ocean currents can have a significant impact on the climate. Sonal Rami's research in machine learning methods at the MarDATA aims to make complex ocean models even more precise in order to predict these currents more accurately.