
Über uns
We are BLISS e.V., the AI organization in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter 2025/26, we will, again, host an exciting speaker series on site in Berlin, featuring excellent researchers from Tübingen AI Center, DeepMind, Microsoft, King's College London, cohere, and ETH Zürich.
For more information about us, especially our weekly reading group, visit bliss.berlin
Kommende Veranstaltungen
5

#26 AI Series: Tübingen AI Center - A. Prabhu
C130, Institut für Chemie, Technische Universität Berlin, Chemiegebäude, Str. des 17. Juni 115, 10623 Berlin, Berlin, DEWe are excited to feature Ameya Prabhu, who is currently a Postdoctoral Researcher at Tübingen AI Center and will discuss "What's Next in Continual Learning for Foundation Models?", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.
Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.
Abstract: TBD
Bio: Ameya is a Postdoctoral Researcher at the Bethge Lab, Tübingen AI Center, where he works on developing frontier benchmarks for foundation models with a broader focus on automated scientific discovery. He received his PhD in Artificial Intelligence from the University of Oxford in 2024, working on continual learning and robustness, including contributions such as GDumb and RanDumb. He previously held research roles at Intel Labs, Verisk, IBM, and WizCal, spanning topics from large-scale continual learning to neural architecture search and uncertainty estimation. Before Oxford, he completed a dual Bachelor’s and Master’s by Research in Computer Science at IIIT Hyderabad. His work has been published at NeurIPS, ICML, ICCV, EMNLP, and TMLR.
We are BLISS e.V., the AI organization in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter 2025/26, we will, again, host an exciting speaker series on site in Berlin, featuring excellent researchers from Tübingen AI Center, DeepMind, Microsoft, King's College London, cohere, and ETH Zürich.
Website: https://bliss.berlin
Youtube: https://www.youtube.com/@bliss.ev.berlin
Disclaimer: By attending this event you agree to be photographed.119 Teilnehmer
#27 AI Series: DeepMind - D. Gökay
C130, Institut für Chemie, Technische Universität Berlin, Chemiegebäude, Str. des 17. Juni 115, 10623 Berlin, Berlin, DEWe are excited to feature Dilara Gökay, who is currently a Research Engineer at Google DeepMind and will discuss "Insights into Training Video Models", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.
Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.
Abstract: TBD
Bio: Dilara is a Research Engineer at Google DeepMind in London, working on video understanding. She received her MSc in Computer Science from the Technical University of Munich in 2022, specializing in computer vision and graphics as a TEV/DAAD scholar, and her BSc in Computer Engineering from Boğaziçi University, where she graduated with high honors. Previously, she held engineering roles at Facebook Reality Labs, Microsoft, and X (The Everyday Robot Project), as well as a site reliability internship at Google.
We are BLISS e.V., the AI organization in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter 2025/26, we will, again, host an exciting speaker series on site in Berlin, featuring excellent researchers from Tübingen AI Center, DeepMind, Microsoft, King's College London, cohere, and ETH Zürich.
Website: https://bliss.berlin
Youtube: https://www.youtube.com/@bliss.ev.berlin
Disclaimer: By attending this event you agree to be photographed.106 Teilnehmer
#28 AI Series: ETH Zürich - J. Hübotter
C130, Institut für Chemie, Technische Universität Berlin, Chemiegebäude, Str. des 17. Juni 115, 10623 Berlin, Berlin, DEWe are excited to feature Jonas Hübotter, who is currently a PhD student at ETH Zürich and will discuss "Test-Time Training Agents for Deep Exploration", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.
Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.
Abstract: TBD
Bio: Jonas is a PhD student in the Learning and Adaptive Systems Group at ETH Zurich, advised by Andreas Krause. His research focuses on test-time training and reinforcement learning, with broader interests in probabilistic inference, optimization, and online learning. He received an MSc in Theoretical Computer Science and Machine Learning from ETH Zurich, where he was awarded the ETH Medal, and a BSc in Computer Science and Mathematics from the Technical University of Munich. His work has been published at NeurIPS, ICLR, ICML, and COLM.
We are BLISS e.V., the AI organization in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter 2025/26, we will, again, host an exciting speaker series on site in Berlin, featuring excellent researchers from Tübingen AI Center, DeepMind, Microsoft, King's College London, cohere, and ETH Zürich.
Website: https://bliss.berlin
Youtube: https://www.youtube.com/@bliss.ev.berlin
Disclaimer: By attending this event you agree to be photographed.54 Teilnehmer
#29 AI Series: King's College London - D. Watson
C130, Institut für Chemie, Technische Universität Berlin, Chemiegebäude, Str. des 17. Juni 115, 10623 Berlin, Berlin, DEWe are excited to feature David Watson, who is currently a Lecturer at King's College London and will discuss "Can Humans Flourish in the Age of AI?", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.
Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.
Abstract: TBD
Bio: David is a Lecturer in Artificial Intelligence at King’s College London, where his research spans machine learning, philosophy of science, and computational biology. He received his DPhil from the University of Oxford, focusing on algorithmic fairness and explainability, and was previously a Postdoctoral Research Fellow in the Department of Statistical Science at University College London, working on causal discovery and inference. He also serves as an Associate Editor at Minds & Machines and contributes as a Data Scientist at Queen Mary University’s Centre for Translational Bioinformatics.
We are BLISS e.V., the AI organization in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter 2025/26, we will, again, host an exciting speaker series on site in Berlin, featuring excellent researchers from Tübingen AI Center, DeepMind, Microsoft, King's College London, cohere, and ETH Zürich.
Website: https://bliss.berlin
Youtube: https://www.youtube.com/@bliss.ev.berlin
Disclaimer: By attending this event you agree to be photographed.53 Teilnehmer
Vergangene Veranstaltungen
30

