Zurich AI | zurich.tech

ZurichNLP #1ZürichLuca Beurer-Kellner from ETH Zurich and Basil Mustafa from Google Brain.ZurichNLP #2ZürichJulian Eisenschlos from Google and Alex Warstadt from ETH Zurich.ZurichNLP #3ZürichTim Scarfe and Zeerak Talat on the democratization, policy, and ethics of AI.ZurichNLP #4ZürichKatya Mirylenka from IBM Research and Elliott Ash from ETH Zurich on text classification and legal summarization.ZurichNLP #5ZürichJonas Pfeiffer from Google DeepMind on modular deep learning and Eiso Kant from Poolside on learning from code.ZurichNLP #6ZürichLucas Beyer from Google DeepMind and Ana Kotarcic from the University of Zurich.ZurichNLP #7ZürichMartina Forster and Luca Campanella from Typewise on building an NLP startup, and Tiago Pimentel from ETH Zurich on word lengths.ZurichNLP #8ZürichBrian DuSell from ETH Zurich on stack attention and Leandro von Werra from Hugging Face on BigCode.ZurichCV #1ZürichFelix Bauer from SynSense and Songyou Peng from ETH Zurich launch the ZurichCV series.ZurichCV #2ZürichLucas Beyer from Google DeepMind on structured computer vision in the age of language models.ZurichNLP #9ZürichLewis Tunstall from Hugging Face on LLM alignment and Vilém Zouhar from ETH Zurich on tokenization.ZurichNLP #10ZürichKacper Lukawski from Qdrant on optimizing RAG and Tannon Kew from the University of Zurich on multilingual language models.ZurichCV #3ZürichJulian Schilliger from ETH Zurich on reading ancient papyrus and Nicolas Muntwyler from nunu.ai on visual game agents.ZurichNLP #11ZürichScaling LoRA serving for AWS and defending against hoodwinked agents.ZurichCV #4ZürichImage tokenizers in the age of VLMs and photorealistic reconstruction of 3D scenes.ZurichNLP #12ZürichYannic Kilcher on OpenAssistant and Afra Amini on aligning LLM algorithms.ZurichCV #5ZürichJulian Eisenschlos from Google DeepMind and Anton Obukhov from ETH Zurich.ZurichNLP #13ZürichBetsa Maciej and Riccardo Maggioni from ETH Zurich on graph of thoughts and accelerating industrial programming with AI.ZurichCV #6ZürichBarath Daniel Béla from ETH Zurich on GLOMAP and Peter Karkus from NVIDIA Research on autonomous driving in the age of LLMs.ZurichNLP #14ZürichJonas Hübotter and Imanol Schlag from ETH Zurich on learning at test time and Swiss sovereign AI.ZurichCV #7ZürichAyca Takmaz on open-vocabulary 3D scene understanding.ZurichNLP #15ZürichMatej Jusup from the ETH AI Center on mastering board games and Bobby He from the University of Oxford on understanding outlier features.ZurichCV #8ZürichXi Wang on egocentric learning and Nikolai Kalischek on diffusion-based panorama generation.ZurichCV #9ZürichLinus Scheibenreif from ETH Zurich on self-supervised learning for satellite imagery and Pascal Chang from ETH Zurich and Disney Research on visual anagram generation.ZurichNLP #16ZürichIvan Vulić from the University of Cambridge and Google DeepMind on vision-language models for spatial reasoning and Tiago Pimentel from ETH Zurich on generalisation in language models.ZurichNLP #17ZürichAleksander Ficek from NVIDIA on synthetic generators and verifiers for coding and Matteo Saponati from ETH Zurich on the structures of self-attention.ZurichCV #10ZürichFelix Wimbauer from the Technical University of Munich and Google on understanding the 3D world from videos, and Joan Puigcerver from Google DeepMind on scaling computer vision architectures.ZurichRobotics #1ZürichBarnabas Gavin Cangan from ETH Zurich on robot hands and Caterina Caccavella from ZHAW and ETH Zurich on bio-inspired active sensing.ZurichAI: Jürgen SchmidhuberZürichJürgen Schmidhuber on the past, present, and future of AI.ZurichCV #11ZürichPaul-Edouard Sarlin from Google on 3D reconstruction for localization and Nando Metzger from ETH Zurich on high-resolution maps.ZurichNLP #18ZürichPhilippe Bich from Huawei on calibration-free low-precision LLMs and Alejandro Hernandez Cano from EPFL on Apertus, the Swiss open LLM.ZurichRobotics #2ZürichAntonio Arbues from Loki Robotics on building useful robots in the age of AI and Giacomo Manzoni from Hexagon on imitation learning for dexterous manipulation.ZurichNLP #19ZürichSina Ahmadi from the University of Zurich on low-resource language varieties and Barna Pasztor from ETH Zurich on sample-efficient dataset collection for RLHF.ZurichCV #12ZürichZan Gojcic from NVIDIA on generative reconstruction and Vanessa Sklyarova from ETH Zurich on hairstyle modelling for avatars.ZurichRobotics #3ZürichMichael Neunert from Google DeepMind on efficient models for bringing AI into the real world and Riccardo Maggioni from FORGIS on the intelligence layer for the factory floor.ZurichNLP #20ZürichFabian Schaipp from Inria on training algorithms for machine learning and Valentina Pyatkin from the Allen Institute and ETH Zurich on training open-source LLMs.ZurichCV #13ZürichFrancis Engelmann from USI on superquadric representations for world models and Korrawe Karunratanakul from Flexion on versatile character control.ZurichRobotics #4ZürichSeif Ismail from Watney Robotics on Conway's Law in robotics and Victor Klemm from ETH Zurich on designing robots with legs, wheels, and arms.ZurichNLP #21ZürichJannis Vamvas from the University of Zurich on the challenge of Romansh and Eric Chen from EPFL on reasoning as test-time learning.ZurichCV #14ZürichHaithem Turki from NVIDIA on photorealistic world models and Omar Sanseviero from Google DeepMind on the open Gemma model family.

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