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Reference

721. Knowing your A/MS system's Limit: System Acceptance Region Exploration by using Automated Model Refinement and Accelerated Simulation (Kopie 1)

Georg Gläser, Hyun-Sek Lukas Lee Markus Olbrich Erich Barke In: Fummi F., Wille R. (eds) Languages, Design Methods, and Tools for Electronic System Design. Lecture Notes in Electrical Engineering, vol 454. Springer, Cham, 2017, DOI: https://doi.org/10.1007/978-3-319-62920-9_1

Reference

722. KNITTY-fi – Kleidung mit gestrickten Schaltern und energieeffizienter, waschbarer Elektronik

Tino Hutschenreuther, Silicon Saxony Arbeitskreis CPS, 1. Februar 2017, Dresden

Reference

723. Knitty-fi

Michael Rink, 12th Silicon Saxony Day, 19.-20. Juni 2017, Dresden

Reference

724. KIQ

In the KIQ project, we investigated solutions for embedded AI and, on this basis, implemented an AI-based retrofittable and cost-effective solution for quality assurance of cutting tools. Photograph: IMMS.

IMMS has developed an AI-based, retrofittable and cost-effective solution for quality assurance of machining tools.

Reference

725. Kick-off-Meeting ASEDA Projekt VALSE

Ch. Lang, München, Mai 2001

Reference

726. Kick-off-Meeting zum Projekt 'ASDESE'

C. Foss, F. Rößler Reutlingen, März 2001

Reference

727. Kick-off-Meeting zum Projekt 'ANASTASIA'

R. Izak, St. Lange F. Rößler München, März 2001

Reference

728. KI-EDA

In the KI-EDA project, artificial neural networks are used to estimate model errors of behavioural models, which are essential for simulating integrated circuits. Photograph: IMMS.

IMMS developed smart models and tes methods for the design of sensor and control chips for I4.0 applications

Press release

729. KI zum Entwurf von Antriebssteuerchips als Schlüsselprodukte für die Industrie 4.0

Virtuelles Kick-off-Meeting am 24.03.2020 zum Projekt KI-EDA. Quelle: KI-EDA.

Virtuelles Kick-off-Meeting zum Projektstart von KI-EDA

Reference

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

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