Newsroom

We are delighted to announce that this semester term the Ruperto Carola Lecture Series (Ruperto Carola Ringvorlesung) is organized by Matthias Bartelmann, STRUC­TURES member, and Manfred Salmhofer, speaker of STRUCTURES.
On Monday, November 8, Manfred Salmhofer addresses the connection between the diversity of structures that surround us in the natural world and the unity of the laws of nature that underlie them. In addition to lectures by Markus Oberthaler and Matthias Bartelmann from STRUC­TURESwe are looking forward to six renowned speakers from philosophy, brain research, psychology, literature, law, and music.
Lectures take place every Monday at 7:30 pm, Aula Neue Universität. The talks will be given in German language.

See press release here (November 4, 2021).

The next episode of “#exzellenterklaert - Spitzenforschung für alle” is online! Learn more about “Bacteria in the Gut - How Drugs Affect our Microbiome,” and listen directly to Lisa Maier, Junior Group Leader at the Tuebingen Cluster of Excellence CMFI.

The German science podcast on current science topics reflects the re­search diversity of the Germany’s leading re­search institutions and Clusters of Excellence: from Africa Studies to Quan­tum Physics. In each episode, listeners can expect insights into the interdisciplinary work of one re­search network. The researchers of the clusters of excellence, funded by DFG talk to podcaster Larissa Vassilian about how they want to find scientifically based answers to relevant topics of our time - for the society of tomorrow.

Link: https://exzellent-erklaert.podigee.io/.

STRUC­TURES members Andreas Baumbach, Akos Ferenc Kungl, Johannes Schemmel and Mihai Petrovici develop a new training approach for spiking neural networks with their co-workers.

Developing a ma­chine that processes information as efficiently as the human brain has been a long-standing re­search goal towards true artificial intelligence. The interdisciplinary re­search team at Hei­del­berg Uni­ver­si­ty and the Uni­ver­si­ty of Bern (Switzerland) led by Mihai Petrovici is tackling this problem with the help of biologically-inspired artificial neural networks. Spiking neural networks, which mimic the structure and function of a natural nervous system, represent promising candidates because they are powerful, fast, and energy-efficient. One key challenge is how to train such complex systems. The German-Swiss re­search team has now developed and successfully implemented an algorithm that achieves such training.

See press release from October 29, 2021 (in English) or from October 29, 2021 (in German).

Original publication in Nature Ma­chine Intelligence from September 17, 2021 (in English).

We are happy to present the third volume of the STRUC­TURES newsletter!

The STRUC­TURES Office is happy to answer questions and to receive feedback.

We congratulate our member Matthias Bartelmann for being elected as member of the University Council!
The Uni­ver­si­ty Council oversees the management by the Rectorate. It can at any time give the Science Ministry its opinion on strategic matters concerning the uni­ver­si­ty. It consists of eleven members who are appointed by the Minister for Science, Re­search and the Arts. Six members, including the chairperson, are leading figures from outside the uni­ver­si­ty; five members, including the deputy chairperson, are members of the uni­ver­si­ty. The term of office of the members, and of the Uni­ver­si­ty Council, is three years.

From 4th to 8th of October the Workshop "Pure Spinors, Superalgebras, and Holomorphic Twists" will take place in hybrid format within the cluster of excellence STRUC­TURES at Hei­del­berg Uni­ver­si­ty. The goal of the workshop is to bring together experts working at the intersection between theo­re­ti­cal physics and pure mathematics - with a special emphasis on representation theory, complex, algebraic and derived geometry -, to foster exchange, collaborations and the development of a shared language between these diverse groups.

Talks will take place in the Zoom-extended Mathematikon Hörsaal. Links and further information will be available at the workshop’s homepage.