Machine Learning Talks on Campus

Workshop CoE STRUCTURES and MRA Cognitive Science (FoF4)
Human Intelligence (HI) meets Artificial Intelligence (AI)
 

Join us for a day with many opportunities to get in touch with Cognitive Science/Field of Focus 4 and STRUCTURES, meet new colleagues and collaborators, discuss science with keynote speakers, and to network. We are very happy to welcome researchers at all career stages (doctoral students, post docs, professors) and especially those faculty members who joined Heidelberg University only recently and who are interested to build new transdisciplinary collaborations in the context of HI meets AI.
Topics could be e.g. cognitive and computational neuroscience, the computational mind, neural networks, superstatistics, dynamical systems... All these topics are of interest for cognitive research, AI and neuroscience, and at the same time potentially also for other fields like data and computer sciences, mathematics, microbiology, technology development and medical sciences. Other fields and field suggestions are very welcome!
This in-person 2-days workshop will cover many aspects of this emerging field of research, and will combine insights into exciting current research activities and key discoveries with the development of a future perspective for Cognitive Science, HI and AI. A program and more details will follow during the next weeks. We are very much looking forward to a day with stimulating presentations and discussion in an enjoyable atmosphere.

AI InScide Out Unconference

This event offers the opportunity for leading scientists in AI applied to health, life, and natural sciences to meet and to have interdisciplinary exchanges.
Join us for a vibrant community meeting that will bring together AI scientists in the areas of bioinformatics, imaging, structural biology, physics (and more), to stimulate new collaborations and spark boundary-pushing discussions. AI InScide Out will feature keynote talks from distinguished scientists, presentations from researchers associated with AI Health Innovation Cluster and ELLIS-Life Heidelberg, and flash talks from submitted abstracts. The unconference session will be distinct from a regular conference, providing ample opportunities for scientific exchange and informal discussions among all participants. 
We invite researchers from all career stages to register. You will have the opportunity to present your own work, either focused on a scientific advance, failure and challenge, or novel opportunities for scientific questions that are ready to be tackled using AI.
The event is free of charge but registration is mandatory. Please register online by September 15: https://indico.dkfz.de/e/ai. Admission will be on a first come first-serve basis with priority given to submissions that include a (short) scientific abstract. 

ELLIS Unit Heidelberg, AI Health Innovation Cluster

The program committee:
Oliver Stegle, Klaus Maier-Hein, Britta Velten, Julio Saez-Rodriguez, and Ullrich Köthe

I4L Lecture by Karsten Borgwardt - Director MPI München

Department of Machine Learning and Systems Biology

KoMSO Academy
TorchPhysics: Deep Learning for partial differential equations

TorchPhysics has been jointly developed by Bosch and the University of Bremen. It aims at providing an ‘as simple as possible’ platform for testing AI concepts for solving PDEs. This workshop aims at providing an overview of the state of the art AI concepts for solving PDEs and related parametric studies/parameter identication problems.
We include an introduction in using TorchPhysics as well as hands on exercises using this toolbox. 
Furthermore we highlight recent advances in modeling injection molding processes in industrial applications via deep learning based surrogate models.

Keynote speakers:  
Prof. Dr. Uwe Iben, Robert Bosch GmbH
Prof. Dr. Dr. h.c. Peter Maaß, ZeTeM, University of Bremen 
Manuel Wenzel, Robert Bosch GmbH
TorchPhysics Team University of Bremen (Janek Gödeke, 
Nick Heilenkötter, Tom Freudenberg)

Organisatoren:Prof. Dr. Uwe Iben, Robert Bosch GmbH
Prof. Dr. Dr. h.c. Peter Maaß, Universität Bremen
Dr. Hanna Schilar, Bergische Universität Wuppertal, KoMSO-Koordinatorin