Skip to main content

FED Conference

Date, Type of contribution, Location:
30.09.2022,Talk,Potsdam
Title:

Machine-Learning im PCB-Entwurf: Open-Source zwischen Forschung, Potential und Alltag (Machine learning in PCB design: Open source between research, potential and everyday life)

Authors:

Georg Gläser

Event:
30th Conference of the German Association for Design, Printed Circuit Board and Electronics Manufacturing (FED)
Further information:

Related content

Project

IntelligEnt

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

Press release,

Reliable and faster chip designs through invasive and parametric simulation methods

Dissertation on new methods for automation in integrated circuit design

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

Award

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

Henning Franke

This might also be interesting for you

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.


Contact

Contact

Dipl.-Hdl. Dipl.-Des. Beate Hövelmans

Head of Corporate Communications

beate.hoevelmans(at)imms.de+49 (0) 3677 874 93 13

Beate Hövelmans is responsible for the text and image editorial work on this website, for the social media presence of IMMS on LinkedIn and YouTube, the annual reports, for press and media relations with regional and specialist media and other communication formats. She provides texts, photographs and video material for your reporting on IMMS, arranges contacts for interviews and is the contact person for events.

Back