Fermions, particles with half-integer spin like the electron, proton and neutron, obey the Pauli principle: They cannot share one and the same quantum state. This “anti social” behavior is directly observed in experiments with ultracold gases of fermionic atoms: Pauli blocking in momentum space for a free Fermi gas, and in real space in gases confined to an optical lattice. When fermions interact, new, rather “social” behavior emerges, i.e. hydrodynamic flow, superfluidity and magnetism. The interplay of Pauli’s principle and strong interactions poses great difficulties to our understanding of complex Fermi systems, from nuclei to high-temperature superconducting materials and neutron stars. I will describe experiments on atomic Fermi gases where interactions become as strong as allowed by quantum mechanics – the unitary Fermi gas, fermions immersed in a Bose gas and the Fermi-Hubbard lattice gas. Sound and heat transport distinguish collisionally hydrodnamic from superfluid flow, while spin transport reveals the underlying mechanism responsible for quantum magnetism.
The SISSI-Symposium will be postponed. Stay tuned!
Organizers: Claudia Daefler
The 42nd German Conference on Pattern Recognition (DAGM-GCPR 2020), the 25th International Symposium on Vision, Modeling and Visualization (VMV 2020) and the 10th Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2020) will for the first time be co-located in Tübingen this year!
Organizers: Andreas Geiger
The four institutions on Tübingen Max Planck Campus open their doors to the interested public.
Organizers: Claudia Daefler
Learning systems are part of our everyday life, either as software in internet search as well as in image recognition or as physical systems such as robot vacuum cleaners and autonomous vehicles. The Max Planck ETH Center for Learning Systems promotes leading experts as well as junior scientists in the interdisciplinary, pioneering research field of learning systems. It establishes a centre of excellence offering a unique platform for scientific networking and research into novel technologies at the science and technology hub in Baden-Wuerttemberg and Switzerland.
We are pleased to announce the First Max Planck ETH Workshop on Learning Control within the Max Planck ETH Center for Learning Systems. The workshop will take place November 11-13 2015 at the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen. We cordially invite all researchers from ETH Zürich and MPI-IS interested in the area of Learning Control to participate and actively contribute to this workshop.
(interesting speakers and talks - mostly in German) Seit 2002 veranstaltet das Institut am Standort Stuttgart ein wissenschaftliches Kolloquium, das der Kontaktpflege mit den Alumni und Freunden des Instituts dient. Wir bitten um Anmeldung bis 30. Juni 2015, entweder per Post oder unter: www.is.mpg.de/gpk2015
MLSS's are a renowned venue for graduate students, researchers, and professionals. They offer an opportunity to learn about fundamental and advanced aspects of machine learning, data analysis and inference, from intellectual leaders of the field.
In the summer of 2015 the MLSS will make its fourth appearance in Tübingen.
Symposium on Intelligent Systems / Alumni Meeting of MPI-IS:
The idea of DALI is to combine the special qualities of the former Snowbird meetings (intimate atmosphere, very good people, plenty of time to interact) with positive aspects of larger conferences that rarely take place in Europe. We decided for a three day format with two days of workshops, and one day of plenary talks in the middle, including a poster session. We chose an attractive location in a nearby time zone, which limits travel times for many of us who normally travel to meetings in the US. We have initially circulated this link only to a small list of people with the hope that we can bootstrap it into a high quality meeting of size around 50-100. If you haven’t been contacted yet, but you’d like to attend, please e-mail us.
This invitation-only workshop will bring together experts in the field to focus on the problem of estimating Scenes from Video. In so doing, we hope to draw several lines of research together to address the problem of extracting physical and semantic information from video.
As a follow up meeting on the RNLS (Research Network on Learning Systems) at the ETH Zürich in June 2014, we will organise the Computer Vision Breakout Meeting on the MPI IS Campus in Tuebingen. This meeting is to bring together researchers from both institutions, MPI IS and ETH Zürich, to exchange ideas, knowledge and experiences and learn from each other.
The inaugural summer school of the joint ETH/MPI Research Network on Learning Systems will feature tutorial lectures and practicals on various topics related to Learning Systems. In particular, researchers from the Max Planck Institute for Intelligent Systems and ETH Zurich will present introductory and advanced topics in areas such as Statistical Machine Learning, Robotics / Control and Computer Vision.