The MATH+ Day 2020 took place on 6 November with more than 140 participants of the Berlin’s mathematics community. The General Assembly elected a new board and Christof Schütte as the new MATH+ chair followed by presentations of the previous two years‘ research results accompanied
MATH+ and BMS invite applications for the Dirichlet Postdoc Fellowship. The fellowship starts in Fall 2021 and runs for two years. The call is open to promising young mathematicians who will have received their PhD by 30 September 2021. Application deadline: 01 December 2020.
In einer Ausstellung im Humboldt Labor werden die sieben Berliner Exzellenzcluster und ihre Forschungsthemen vorgestellt. MATH+ beschreibt in einem Film, wo die Mathematik wichtige Beiträge leistet, wie z.B. bei der Verkehrsplanung, die auch autonomes Fahren beinhaltet, der Energieversorgung und auch bei Fragen der Verbreitung des
The bridge between the atomistic and hydrodynamic pictures of the same liquid was found by researchers of the MATH+ project EF4-4 and the Collaborative Research Center SFB 1114 at Freie Universität Berlin. The results are published in the journal Communications Physics (Nature Publishing).
Pain relief therapy is one of most important sectors of the health care system with 12-15 million patients with chronic pain, including 5 million with severe pain in Germany alone.
The SFB/TRR 109 "Discretization in Geometry and Dynamics" is entering the third funding phase. From 2020 to 2024, the German Research Foundation (DFG) will fund the project with 7 million euros. Prof. Dr. Alexander Bobenko, Professor of Geometry at TU Berlin, is the spokesman of
The Berlin Mathematics Research Center MATH+ and its network of collaborators support the science community with COVID-19-related research activities from across all fields. For this reason, we have set up an additional website for the COVID-19 research activities to provide an overview of all research
Why are we still at the beginning in the research field of quantum computing and artificial intelligence (AI)? Jens Eisert (Dahlem Center for Complex Quantum Systems at FU Berlin, MATH+ member) reveals in an interview what the difference is between "strong" and "weak" AI and
Artificial neural networks are currently the driving force of artificial intelligence (AI). Methods based on such deep neural networks are producing impressive results in a wide range of real-world applications, such as autonomic driving, game intelligence and the health sector. The research questions being pursued