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