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Event

1721. elmug4future

Demonstrator for AI-based monitoring of ventilation systems: motor bearings or fan blades can be directly monitored with the compact, retrofittable machine-learning solution. Defective parts are indicated directly via a red LED. Photograph: IMMS.

Technology Conference “Energy Supply – Complex Growth Market in Transition”

Reference

1722. KI für energieeffiziente Sensorsysteme – Effiziente Überwachung von Maschinen und Anlagen

Sebastian Uziel, Friedrichroda, Thüringen 2022 elmug4future, Technologiekonferenz

Event

1723. FED Conference

Work on AI-based methods for the design of integrated circuits. Photograph: IMMS.

30th Conference of the German Association for Design, Printed Circuit Board and Electronics Manufacturing (FED)

Reference

1724. Machine-Learning im PCB-Entwurf: Open-Source zwischen Forschung, Potential und Alltag

Georg Gläser, Potsdam, Germany 2022 30. Konferenz des Fachverbandes für Design, Leiterplatten- und Elektronikfertigung (FED)

Event

1725. inova2022

IMMS at the inova2021 career fair at the ELMUG e.G. joint booth Photograph: ELMUG.

Career Forum at Ilmenau TU

Press release

1726. 2021 annual report online

Cover photo: IMMS is developing the real-time capable platform and AI algorithms for such a mobile multi-sensor testing device for preventive maintenance in industry. More information on page 74. Photograph: IMMS. Foto: IMMS.

Here you can find the contents in brief and the entire report which is linked to further information and videos.

Reference

1727. Heinz-Wolfgang Lahmann, GFE – Gesellschaft für Fertigungstechnik und Entwicklung Schmalkalden e.V.

”In our collaboration with IMMS, we particularly appreciate the expertise in the field of sensor data acquisition and processing, the high application orientation of the solutions and the constructive contacts with its employees – not least when working together on site on machines and equipment.”

Media library

1728. 2021 Annual Report | Article ML4EdgeAI (en/de)

2021 Jahresbericht | Fachartikel ML4EdgeAI (en/de): Maschinelles Lernen auf ressourcenbeschränkten Mikrocontrollern für Edge-KI- und IoT-Anwendungen

Media library

1729. 2021 Annual Report | Article EXPRESS (en/de)

2021 Jahresbericht | Fachartikel EXPRESS (en/de): Intelligente Sensorik für die Digitalisierung in der Landwirtschaft

Media library

1730. 2021 Annual Report | Article NanoFab (en/de)

2021 Jahresbericht | Fachartikel NanoFab (en/de): Untersuchungen zur Positionsregelung von vertikalen Bewegungssystemen für Präzisionsanwendungen im Nanometerbereich