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381. 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

382. 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

383. 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

384. inova2022

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

Career Forum at Ilmenau TU

Reference

385. 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

386. 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

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

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

Event

388. 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

389. An IoT-based Sensor System to Capture Flower Bud Growth in Spring

Silvia Krug, Tino Hutschenreuther 19. GI/ITG KuVS Fachgespräch Sensornetze (FGSN 2022), pp. 37-40, DOI: https://doi.org/10.34702/mncp-qb18. 15. September 2022, Berlin, Germany

Event

390. FGSN 2022

Bud dendrometer (metal clip with cables) in a fruit tree.

Expert Discussion Sensor Networks 2022 of the GI/VDE-ITG Communications and Distributed Systems (Kommunikation und Verteilte Systeme, KuVS) special interest group