Just in time for privacy day, the Transatlantic Privacy Perceptions Panel (TAPP), BERD@NFDI and relAI invite you to join the online discussion on perceptions, practices, and policies of digital privacy:
Quo Vadis, Digital Privacy? Perceptions, Practices, and Policies
Save the date: January 26, 2023, 5.00 pm - 6.45 pm CET !
Registration is free: link
From 28 to 30 October, the second annual meeting of the three DAAD Zuse Schools of Excellence in Artificial Intelligence, ELIZA (Darmstadt), SECAI (Dresden), und relAI (Munich) took place in Munich. The meeting kicked off on the 28th with a work-meeting of the Zuse Schools directors and coordination teams, the chairman of the Zuse Schools Advisory Board, … Read more
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On 30 October 2024, the relAI Scientific Advisory Board (SAB) met in Munich. Throughout the Meeting, SAB Members talked to relAI Directors and Fellows, Students, and the Management Team to gain insights into the relAI program from various perspectives within the relAI family. The SAB members shared their extensive experience from numerous international research projects. They advised … Read more
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On 9 October, we had the pleasure of welcoming the new cohort of relAI students to our school. The day began with a warm introduction from relAI directors, Gitta Kutyniok and Stephan Günnemann, followed by an informative session from our coordinators team, covering the key organizational aspects of relAI. The students spent the afternoon getting to know … Read more
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We were thrilled to present relAI at the TUM Open House Research Campus Garching! It was a great opportunity to share our vision of reliable AI and to connect with students, researchers and the public. At our booth, we demonstrated how AI works through engaging games and simulations. Attendees explored how AI algorithms learn, trained their own … Read more
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Join us at the TUM Open House Research Campus Garching! We’re excited to invite you to our booth at the TUM Open House on October 3rd from 10 AM to 5 PM. Meet relAI students and coordinators at our booth, where you can experiment with building your own neural network or test your intuition against Simpson’s Paradox! … Read more
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