#26 AI Series: Tübingen AI Center - A. Prabhu
Details
We 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.