AI Spring 2023
Quality assurance in manufacturing processes and condition monitoring of machines and systems are typical use cases for AI in production. Corresponding solutions are based on machine learning methods, for which a sufficient amount of representative and high-quality training data is required. Often, these must first be generated, for which both existing sensor technology and retrofittable systems can be used. In some applications, it is necessary for the AI models trained for classifications or predictions to be executed close to the sensor or process. Specialised device platforms can provide benefits for implementing such solutions. In this AI Spring event, these aspects will be explained with some application examples and potentials for more advanced deployment scenarios will be highlighted.
The three presentations will provide an insight into both existing AI applications in manufacturing companies and novel application areas which can be opened up through the use of smart sensor systems.
Informationen, Förder- und Unterstützungsmöglichkeiten für KMU in Thüringen
Lösungen zur Vernetzung und zu Energie- und Ressourceneffizienz an TU Ilmenau und IMMS vorgestellt
Sommertour durch Digitalisierungsthemen – dritte Woche #ZukunftThüringen startet am IMMS
Am 12. Juli 2018 besuchte der für den Landkreis Gotha und den Ilm-Kreis gewählte Bundestagsabgeordnete Tankred Schipanski das IMMS. Zur…
Dipl.-Hdl. Dipl.-Des. Beate Hövelmans
Head of Corporate Communications
beate.hoevelmans(at)imms.de+49 (0) 3677 874 93 13
Beate Hövelmans is responsible for the text and image editorial work on this website, for the social media presence of IMMS on LinkedIn and YouTube, the annual reports, for press and media relations with regional and specialist media and other communication formats. She provides texts, photographs and video material for your reporting on IMMS, arranges contacts for interviews and is the contact person for events.