1755 results
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  301. 2020 Annual Report | Article IntelligEnt – Test (en/de)  
2020 Jahresbericht | Fachartikel IntelligEnt – Test (en/de): Testen auf der Überholspur – Machine Learning beschleunigt Messdaten-Analyse für ASICs um ein Vielfaches  
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  302. 2020 Annual Report | Article IntelligEnt – Modelling (en/de)  
2020 Jahresbericht | Fachartikel IntelligEnt – Modellierung (en/de): Maschinelles Lernen zur automatisierten Modellierung im Chip-Entwurf  
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  303. 2020 Annual Report | Article sUSe (en/de)  
2020 Jahresbericht | Fachartikel sUSe (en/de): Skalierbare Ultraschall- und Volumenstrom-Sensorplattform für die Optimierung der Energieeffizienz  
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  304. 2020 Annual Report | Article IntelligEnt – Layout (en/de)  
2020 Jahresbericht | Fachartikel IntelligEnt – Layout (en/de): „Trash or Treasure“ – Intelligente Layoutverarbeitung  
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  305. 2020 Annual Report | Article NanoFab (en/de)  
2020 Jahresbericht | Fachartikel NanoFab (en/de): Nanometergenaue Hubmodule für die Präzisionsantriebstechnik  
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  306. 2020 Annual Report | Article MEDIKIT (en/de)  
2020 Jahresbericht | Fachartikel MEDIKIT (en/de): Lock-In-Imager für die zeitaufgelöste Fluoreszenzbildgebung mit Europium  
Reference
  307. Dr. Arthur Singer, STABL Energy GmbH  
“The self-image at the institute of thinking our way into our systems and proactively delivering solutions has helped us a lot. We are very satisfied with the results, as well as with the targeted, constructive and collegial way of working.“  
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  308. Peter Otto, Postberg  
“We are very satisfied with the result – the many years of IMMS experience in the design of embedded systems, with industrial projects and also the system understanding of IMMS from the previous product developments with SONOTEC have clearly contributed to the success.”  
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  309. Hans-Christian Fritsch, Ilmsens  
“We were particularly pleased that we, as a start-up from Thüringen with IMMS as its research institute, were able to create an innovative high-tech solution with the Thuringian semiconductor manufacturer X-FAB. We appreciate the high level of expertise and flexibility as well as the customer-oriented and target-oriented way of working of the colleagues from IMMS.”  
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  310. Christian Paintz, Melexis  
“Particularly in the evaluation of measurement data, IMMS has impressively demonstrated that a learning algorithm is on a par with manual evaluation – while saving a great deal of time. We are also continuing to pursue methods for circuit and layout analysis, as we see great research and application potential here as well.”  
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