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1st Place – EDA Competition Award für den Beitrag: Trash or Treasure? Machine-learning based PCB layout anomaly detection with AnoPCB

Auszeichnung mit dem EDA Competition Award auf der 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD, 19 – 22 July 2021, Erfurt, Germany, online
Date:
Award:
1st Place – EDA Competition Award für den Beitrag: Trash or Treasure? Machine-learning based PCB layout anomaly detection with AnoPCB
Authors:
Henning Franke1. Paul Kucera1. Julian Kuners1. Tom Reinhold2. Martin Grabmann1. Patrick Mäder1. Marco Seeland1. Georg Gläser2.
Event:

2021 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 19 – 22 July 2021, Erfurt, Germany, online

 
1Technische Universität Ilmenau, Germany. 2IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.

Related content

Project

IntelligEnt

The IMMS researched assistance systems for chip designers: Machine Learning improves design and test methods for integrated analogue/mixed-signal systems.

  • Trash or Treasure? Machine-learning based PCB layout anomaly detection with AnoPCB

    Henning Franke1. Paul Kucera1. Julian Kuners1. Tom Reinhold2. Martin Grabmann2. Patrick Mäder1. Marco Seeland1. Georg Gläser2.

    2021 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Proceedings in: 423 Seiten, 140 x 124 mm, Slimlinebox, CD-Rom, ISBN 978-3-8007-5588-2, E-Book: ISBN 978-3-8007-5589-9, ieeexplore.ieee.org/document/9547913, 19 - 22 July 2021, Erfurt, Germany, online

    1Technische Universität Ilmenau, Germany. 2IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.
  • Power to the Model: Generating Energy-Aware Mixed-Signal Models using Machine Learning

    Martin Grabmann1. Frank Feldhoff2. Georg Gläser1.

    CadenceLIVE 2020 Europe, 13 - 14 October 2020

    1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ilmenau, Germany. 2Ilmenau University of Technology, Ilmenau, Germany.
  • Ain’t got time for this? Reducing manual evaluation effort with Machine Learning based Grouping of Analog Waveform Test Data

    Tom Reinhold1. Marco Seeland2. Martin Grabmann1. Christian Paintz3. Patrick Mäder2. Georg Gläser1.

    Analog 2020, 17. ITG/GMM-Fachtagung, Analoge Schaltungen: Schlüsselsysteme für Automotive, IoT und zukü­nftige drahtlose Technologien, 28-30 September 2020, online

    1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ilmenau, Germany. 2Technische Universität Ilmenau, Ilmenau, Germany. 3Melexis GmbH, Erfurt, Germany.
  • Artificially IntelligEnt EDA

    Georg Gläser1.

    edaBarCamp, 18 - 19 February 2020, IBM Deutschland Research & Development, Böblingen, Germany

    1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.
All publications

Event,

Forum Künstliche Intelligenz

Artificial Intelligence Forum of the German specialist media Elektronik, Elektronik automotive und Computer&AUTOMATION. The forum was cancelled by the organiser.

Event,

KI für KMU

KI für KMU – Prozesse optimieren mit künstlicher Intelligenz, Vortragsveranstaltung von Mittelstand 4.0

Event,

CadenceLIVE Europe 2020

CadenceLIVE brings together technology users, developers, and industry experts to connect, share ideas and best practices, and inspire design creativity.

Event,

Analog 2020

Zwei Vorträge auf der 17. ITG/GMM-Fachtagung Analog 2020, Analoge Schaltungen: Schlüsselsysteme für Automotive, IoT und zukünftige drahtlose Technologien

Press release,

EDA Competition Award for "Trash or Treasure" - Intelligent Layout Processing

1st prize of the IEEE CEDA goes to young scientists from Ilmenau TU and IMMS

Press release,

Forschergruppe „IntelligEnt“ gestartet: Künstliche Intelligenz und Machine Learning für den Entwurf von Mikroelektronik

IMMS und TU Ilmenau forschen an neuartigen Assistenzsystemen für Chip-Designer


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Core topic

AI-based design and test automation

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.

Service for R&D

IC design methods

We develop new AI-based methods and tools for your system-on-chip and FPGA designs to master the increasing complexity of integrated systems and thus further increase performance.

Research field

Integrated sensor systems

Here we investigate miniaturised systems manufactured in semiconductor technology consisting of microelectronic components for sensors applications, as well as methods to design these highly complex systems efficiently and safely.

Core topic

Modular and mobile test systems

Test capabilities are an integral part of all application developments. We research modular test systems that can be adapted flexibly and quickly to new challenges through optimised functional test units.

Contact

Contact

Eric Schäfer, M. Sc.

Head of Microelectronics / Branch Office Erfurt

eric.schaefer(at)imms.de+49 (0) 361 663 25 35

Eric Schäfer and his team research Integrated sensor systems, especially CMOS-based biosensors, ULP sensor systems and AI-based design and test automation. The results are being incorporated into research on the lead applications Sensor systems for in-vitro diagnostics and RFID sensor technology. It will assist you with services for the development of Integrated circuits and with IC design methods.

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