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Media library

391. 2021 Annual Report | Article NanoFab (en/de)

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

Media library

392. 2021 Annual Report | Article EXPRESS (en/de)

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

Media library

393. 2021 Annual Report | Article ML4EdgeAI (en/de)

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

Reference

394. 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.”

Press release

395. 2021 annual report online

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

Event

396. inova2022

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

Career Forum at Ilmenau TU

Reference

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

Georg Gläser, 30. Konferenz des Fachverbandes für Design, Leiterplatten- und Elektronikfertigung (FED), 29. - 30. September 2022, Potsdam, Germany

Event

398. 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

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

Sebastian Uziel, elmug4future, Technologiekonferenz, 27. - 28. September 2022, Friedrichroda, Thüringen

Event

400. 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”