IMMS - Search

Reference

1831. AlGaN/GaN-heterostructures on (111) 3C-SiC/Si pseudo substrates for high frequency applications

K. Tonisch, W. Jatal F. Niebelschuetz H. Romanus U. Baumann F. Schwierz J. Pezoldt Thin Solid Films, Volume 520, Issue 1, 31 October 2011, S. 491-496. http://www.sciencedirect.com/science/article/pii/S0040609011013885

Reference

1832. Alexander Zimmer, X-FAB Global Services GmbH, Erfurt

”IMMS was able to offer us valuable support due to its many years of experience in the field of measurement technology and circuit design for optical sensors. The reliable work and the trusting partnership is a highly valued basis for the cooperation with IMMS.”

Reference

1833. Ain’t got time for this? Reducing manual evaluation effort with Machine Learning based Grouping of Analog Waveform Test Data

Tom Reinhold, Marco Seeland Martin Grabmann Christian Paintz Patrick Mäder Georg Gläser Analog 2020, 17. ITG/GMM-Fachtagung, Analoge Schaltungen: Schlüsselsysteme für Automotive, IoT und zukünftige drahtlose Technologien, 28-30 September 2020, online

Event

1834. AI4PlantPhysio Workshop

Forest clearing in the Thuringian Forest with a tree stump and a tree stake with environmental sensors in the foreground.

Workshop in the AI4PlantPhysio project on plants and sensor technology at the University of Konstanz

Research field

1835. AI-based design and test automation

With Ilmenau TU, we have developed an AI-based anomaly detection method to automatically detect non-proven and potentially faulty locations in layouts. Our relatetd plugin for the free design tool KiCad is available on GitHub. Source: IMMS.

Core topic AI-based design and test automation in our Integrated sensor systems research field: We are researching to use AI to make the development process of integrated sensor systems safer and more cost-effective. AI can help developers in the process to avoid errors and apply informal knowledge in an automated way.

Press release

1836. AI without the net: Energy-efficient edge AI sensor system for industrial monitoring applications

“AWARE” demonstrator (advanced wireless AI-enabled real-time environment). Monitoring applications in industry can be developed on the basis of this energy-efficient edge AI sensor system. Photograph: IMMS.

IMMS exhibits at embedded world

Event

1837. AI Spring 2023

AI in production - sensors, data, applications

1838. Agenda_Workshop_26Nov2012_01.pdf

Workshop „Photonik/Optoelektronik/Licht-Anwendungen“ - Fachbereich Applikationen des Silicon Saxony e. V. und CoOPTICS/ OptoNet e.V. 26. November 2012 ∙ Technologie- und Innovationspark Jena, Hans-Knöll-Straße 6, 07745 Jena, Seminarraum 3. OG Agenda 12:30 Einlass und Registrierung 13:00 Begrüßung Uwe Gäbler | Silicon Saxony eV; Mike Böttger | CoOPTICS GmbH 13:10 Keynote Dr. Andreas Bräuer | Fraunhofer IOF 13:35 Temperatur- und Langzeitstabiles LED-Licht Dr. Fred Grunert | MAZeT GmbH 14:00 OLED-auf-Silizium Dr. Uwe Vogel| Fraunhofer COMEDD 14:25 Konzepte zur physikalisch-optischen…

Media library

1839. General Terms and Conditions for the execution of research and development contracts at IMMS

Allgemeine Bedingungen für die Durchführung von Forschungs- und Entwicklungsaufträgen im IMMS Allgemeine Bedingungen für die Durchführung von Forschungs- und Entwicklungsaufträgen im IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH („IMMS GmbH“) | AGB Version 2025/I IMMS verfolgt ausschließlich und unmittelbar gemeinnützige Zwecke. Die Allgemeinen Bedingungen tragen den Erfordernissen der Auftragsforschung vor diesem Hintergrund Rechnung. 1. Anwendungsbereich 1.1 Die nachfolgenden Bedingungen gelten für alle Forschungs- und Entwicklungsaufträge, die IMMS erteilt…

Reference

1840. AgAVE

Test setup for the integration of local industry-4.0-compliant assistance systems in production machinery. Photograph: IMMS.

Industry 4.0 communications for an assistance system, ML-based, that autonomously analyses connected production chains