Secure, Autonomous and AI-Based Systems
Secure, Autonomous and AI-Based Systems
The digital transformation and expansion of cyber-physical systems increasingly require more collaborative solutions and human-machine interaction. Cognitive computing also increases the autonomy of systems (e.g. autonomous vehicles and flying objects). At the same time, it also poses challenges in communication and interface design between components and systems, data acquisition and analysis using artificial intelligence (e.g. Big Data, machine learning), and IT security.
Research in this area is conducted primarily at the Affective and Cognitive Institute (ACI), Institute for Machine Learning and Analytics (IMLA), Institute for Unmanned Aerial Systems (IUAS), and the Institute of Reliable Embedded Systems and Communication Electronics (ivESK).
| Title | ML hoch 2 - Menschen Lernen Maschinelles Lernen |
| Short Name | ML hoch 2 |
| Short Description | Das Projekt ML² verfolgt zwei große Ziele: 1) Entwicklung und Durchführung eines gemeinsamen Qualifizierungsprogramms „Machine Learning“ für Studierende (Masterniveau) und Anwender aus Unternehmen. Das Programm durchläuft theoretische und praktische Phasen mit wechselnden Lernorten und beinhaltet Präsenz- und E-Learning-Komponenten. 2) Begleitforschung (kooperative Promotion) zur inhaltlich-didaktischen Aufbereitung von Machine Learning Methoden für Qualifizierungsprogramme. |
| Year Of Acquisition | 2017 |
| Start Date | 2017-11-01 |
| End Date | 2020-03-31 |
| Project Managers |
Dorer, Klaus, Prof. Dr.
Hagen, Tobias, Prof. Dr. Lauer, Tobias, Prof. Dr. Sänger, Volker, Prof. Dr. Trahasch, Stephan, Prof. Dr. |
| Faculties |
W
EMI M |
| Institution | IMLA |