News
Symposium Productive Teaming
Current technological development enables highly complex, intelligent, adaptable and autonomous cyber-engineered systems that can support, complement and surpass human cognitive abilities and skills in solving the new challenges of tomorrow. This constant further development of increasingly powerful and intelligent technologies is currently leading to equally new and complex challenges in dynamic production systems, which must be mastered quickly and consistently. A central challenge in the field of production systems in the future will be to solve highly complex problems with countless parameters that far exceed the capacities of gap and conventional human teams. Therefore, in order to solve these problems and to increase productivity, it is absolutely necessary to form teams of people and production systems that are specialized in such “teaming” between people and production systems. "Productive Teaming" is a joint research initiative of the TU Chemnitz, the TU Ilmenau and the OVGU Magdeburg, which has developed from the already existing research and innovation network "CHIM". The aim of this initiative is to use overarching themes to better understand the teaming between human and artificial agents and to find an answer to the following research question, among others: Can intelligent systems be cognitively augmented in such a way that they are able to use the skills and Dynamically anticipate the needs of the team partner within this process?
More informations about the research initiative you can find here: CHIM.
TU Chemnitz, 28.03.2023
(Author: Marlies Facius)
Overview of Team Projects 2023
Please read the general overview in detail and apply with the expected information directly to Prof. Spiliopoulou.
Here you can find the:
Presentation of Team Project Topics 2023
Topics for Team Projects will be presented on the 19th of April in G29 K058 at 11am
Paper accepted: 19th IEEE International Conference on Advanced Robotics and Its Social Impacts
Anne Rother's paper has been accepted in the 19th IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2023).
Anne Rother, Gunther Notni, Alexander Hasse, Benjamin Noack, Christian Beyer, Jan Reißmann, Chen Zhang, Marco Ragni, Julia Arlinghaus, and Myra Spiliopoulou. "Productive teaming under uncertainty: when a human and a machine classify objects together".
More information: https://ieee-arso.org/
Dates for LAST ATTEMPT exams
The date for the LAST ATTEMPT exams are:
17.07.2023
- 10:00
- 10:30
- 11:00
- 14:00
- 14:30
- 15:00
NOTE: Last attempt exams are offered exclusively for degrees that prescribe a last attempt, and state that this attempt must be an oral exam.
Important announcement regarding registration process:
In order to stay more compliant to the social distancing guidelines, the registration for the exam will be conducted slightly differently.
Download, print, and fill out the examination registration form from the examination office. Fill all fields except the date and time.
Submit the document to Mr. Knopke electronically Deadline 01.07.2023.
The next available time slot will be assigned to you, and Mr. Knopke forwards the updated form to the examination office. You will be informed about the date and time for your exam.
Invited talk in the Scientific Colloquium KMD
Summer Term 2023, April 5, 9:40 a.m.
Title of the presentation: Explaining Drug Recommendations with Deep Learning
By: Panagiotis Symeonidis
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Zoomroom access data:
https://ovgu.zoom.us/j/67437141415
Meeting-ID: 674 3714 1415
Kenncode: 951623
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DM4BA verlegt - Übergangslösung SoSe 23
Die Veranstaltung "Data Mining – Einführung in Data Mining" (DM4BA) für Bachelor wurde vom Sommersemester ins Wintersemester verlegt. Die zugehörige Vorlesung wird daher auch nur im Wintersemester angeboten.
Studierende, die im Sommersemester 2023 die DM4BA belegen wollten, dürfen an die englischsprachige DM I Vorlesung teilnehmen; es wird eine deutschsprachige Übung angeboten, exklusiv für diese Studierende. Dieser findet vom 20.04.2023 bis 13.07.2023 wöchentlich donnerstags von 11:00 bis 13:00 Uhr in Raum G22A-210 statt. Die Anzahl der Plätze ist auf maximal 24 begrenzt. Es wird jedoch dringend empfohlen, den Kurs während des Wintersemesters vollständig zu besuchen. Weitere Einzelheiten werden in der ersten Übung besprochen.
Achtung! Bachelorstudierende dürfen sich nicht für die DM I Prüfung anmelden; Anmeldung zur DM4BA Prüfung wird auch im Sommersemester möglich sein.