1722 results
Press release
  461. Forschergruppe „IntelligEnt“ gestartet: Künstliche Intelligenz und Machine Learning für den Entwurf von Mikroelektronik  
IMMS und TU Ilmenau forschen an neuartigen Assistenzsystemen für Chip-Designer  
Reference
  462. IntelligEnt  
The IMMS researched assistance systems for chip designers: Machine Learning improves design and test methods for integrated analogue/mixed-signal systems.  
Reference
  463. Messumgebung zur dynamischen Charakterisierung des Leistungsverbrauchs von Ultra-Low-Power Schaltungen  
Marco Reinhard, Alexander Rolapp Benjamin Saft Michael Meister 31. GI/GMM/ITG-Workshop, Testmethoden und Zuverlässigkeit von Schaltungen und Systemen (TuZ 2019), 24.-26. Februar 2019, Prien am Chiemsee  
Reference
  464. Messverfahren zur HF-Charakterisierung des Crosstalks verschiedener Halbleitertechnologien  
Björn Bieske, Dagmar Kirsten Michael Ott Michael Frey 31. GI/GMM/ITG-Workshop, Testmethoden und Zuverlässigkeit von Schaltungen und Systemen (TuZ 2019), 24.-26. Februar 2019, Prien am Chiemsee  
Reference
  465. Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems  
Kaja Balzereit, Alexander Maier Björn Barig Tino Hutschenreuther Oliver Niggemann In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 592-601, 19 - 21 February, 2019, Prague, Czech Republic, DOI: https://doi.org/10.5220/0007362005920601  
Reference
  466. A Fully Passive RFID Temperature Sensor SoC With An Accuracy Of ±0.4 °C (3σ) From 0 °C To 125 °C  
Jun Tan, Muralikrishna Sathyamurthy Alexander Rolapp Jonathan Gamez Eckhard Hennig Eric Schäfer Ralf Sommer in IEEE Journal of Radio Frequency Identification, vol. 3, no. 1, pp. 35-45, March 2019. DOI: https://doi.org/10.1109/JRFID.2019.2896145  
Press release
  467. New financial managing director at IMMS  
Hans-Joachim Kelm hands over to Martin Eberhardt as of February 1, 2019  
Reference
  468. Energieautarkes Industrie-4.0-konformes Funksensorsystem  
Wolfram Kattanek, Science meets Industry, 23. Januar 2019, Chemnitz  
Reference
  469. MEDIKIT  
IMMS has developed a chip for mobile diagnostic systems for the early detection of diseases using time-resolved fluorescence measurements.  
Reference
  470. MagSens  
IMMS was involved in research on MEMS sensors that will detect the weakest magnetic fields in the future, for example in medical technology.  
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