Photo recap: All Hands Meeting 2023
On October 9th and 10th, 2023, the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin invited scientists from the university AI competence centers (BIFOLD, ScaDS.AI Dresden/Leipzig, Lamarr Institute, Tübingen AI Center, and MCML) and the DFKI to Berlin to present and discuss the latest results of their research on the EUREF campus.
Please find supplementary information in the press release.
Platform for the AI community in Germany
The AI Symposium aimed to enhance the communication and collaboration between the AI scientific community and policymakers. It strived to create a platform for the exchange of ideas, knowledge, and insights related to artificial intelligence. Among the over 250 participants: Prof. Dr. Matthias Bethge (Tübingen AI Center), Prof. Dr. Thomas Seidl (Munich Center for Machine Learning), Mario Brandenburg (parliamentary state secretary, Bundesministerium für Bildung und Forschung), Prof. Dr. Wolfgang E. Nagel (ScaDS.AI Dresden/Leipzig), Dr. Henry Marx (state secretary Wissenschaft und Forschung, Berliner Senat), Prof. Dr. Geraldine Rauch (president of Technischen Universität Berlin), Prof. Dr. Volker Markl (BIFOLD), Gonca Türkeli-Dehnert (state secretary, Ministerium für Kultur und Wissenschaft, NRW), Prof. Dr. Stefan Wrobel (Lamarr Institute), Prof. Dr. Antonio Krüger (DFKI), Prof. Dr. Christian Bauckhage (Lamarr Institute), Prof. Dr. Klaus-Robert-Müller (BIFOLD), Prof. Dr. Bernhard Schölkopf (Tübingen AI Center). From left to right.
Panels and Keynote
Two days, one platform for interdisciplinary exchange: At the All Hands Meeting, our guests from science, politics, and economy delved into the status quo of German AI research and discussed ways to further enhance this research. One highlight was the keynote speech delivered by Prof. Sepp Hochreiter. He connected the historical development of AI research with the current and upcoming challenges.
Internal networking among the AI Research Centers
The use of artificial intelligence has significant impact on research across various fields, including but not limited to chemistry, computer science, cybersecurity, digital humanities, mathematics, medicine, quantum physics, and social science. In Berlin partcipants discussed the immense transformation brought about by this technology.
