General Assembly Meeting in Dresden

Contribution List

19. Robotics Lab

Prof. Roberto Calandra (TU Dresden)

3/18/24, 10:25 AM

20. Deep Learning for the Analysis of Images and Text Data in Oncology

Prof. Jakob N. Kather (TU Dresden)

3/18/24, 10:45 AM

36. Announcement

Dr Eric Peukert (Leipzig University / ScaDS.AI Dresden/Leipzig)

3/18/24, 11:05 AM

22. Pain Points of Developing AI-Enabled Systems in Industry

Prof. Norbert Siegmund (Leipzig University / ScaDS.AI Dresden/Leipzig)

3/18/24, 11:40 AM

23. Hybrid Mixed Reality Interfaces for Immersive Data Analysis

Prof. Raimund Dachselt (TU Dresden / ScaDS.AI Dresden/Leipzig)

3/18/24, 11:55 AM

32. Streamlining Data Sharing in Machine Learning with Dataverse

L. Sherpa

3/18/24, 12:10 PM

33. PhD: Deep Learning for Acute Stroke Care

Mrs Marie-Sophie von Braun (Leipzig University / ScaDS.AI Dresden/Leipzig)

3/18/24, 12:25 PM

34. PhD: Redefining ‘differential signalling’ in models of synaptic dynamics by considering transition states in spiking neurons with homogeneous frequency input spikes

Mr Ferney Beltran Velandia (Leipzig University / ScaDS.AI Dresden/Leipzig)

3/18/24, 12:40 PM

35. Breakout Sessions + Networking

3/18/24, 2:25 PM

1: Team Lead Session
2: Graduate School

10. PI Session and Networking

3/18/24, 4:30 PM

11. Dinner

3/18/24, 7:00 PM

12. Basics of HPC / Data Management: New Filesystems, Workspaces, Data Transfer

3/19/24, 9:00 AM

Track 1

15. Discuss improvements for data sharing / common services

Mr Matthias Täschner (Leipzig University / ScaDS.AI Dresden/Leipzig)

3/19/24, 9:00 AM

Track 2

16. Licensing of material

Mr Robert Haase (Leipzig University / ScaDS.AI Dresden/Leipzig)

3/19/24, 11:00 AM

Track 2

13. Software Management: Module System, Virtual Environments / Running Programs: Batch System

3/19/24, 11:00 AM

Track 1

17. Clean Code (Robert Martin)

Mrs Mariia Tkachenko (Leipzig University / ScaDS.AI Dresden/Leipzig)

3/19/24, 1:00 PM

Track 2

14. Parallel Hands-On Sessions

3/19/24, 1:00 PM

Track 1

Prerequisites: to follow the hands-on session on HPC please have your ZIH login at hand.

A: Guided hands-on
- In the session, you'll receive ready-to-use notebooks to acquaint yourself with fundamental HPC features. Following this, you'll be equipped to start with your own research question using HPC. No prerequisites are required.

B: Consultancy with your own code/data
- Please...

Back to the event