ASM ICAI Lab

A collaboration between Radboud University and ASM Pacific Technology.

The ASM ICAI Lab centers its research on three core themes: low-level quality inspection, predictive maintenance, and high-level process control.

 

To drive these advancements, the lab leverages key technical AI components, focusing primarily on:

 

  • Autonomous Agents & Robotics
  • Computer Vision
  • Decision Making
  • Machine Learning

 

With a commitment to trustworthy, explainable, and accountable AI systems.

Sustainable Development Goals

About the lab

The ASM ICAI Lab is dedicated to bridging the gap between advanced AI research and semiconductor manufacturing practice.

 

The lab’s mission and vision are to develop AI methods and brain-inspired computing tools necessary to improve low-level quality inspection and high-level process control, ultimately increasing resource-use efficiency and reducing waste across the high-tech industry.

 

The impact of the lab lies in accelerating smart industry innovation, achieved by validating breakthroughs directly in industrial semiconductor settings alongside partner ASMPT, fostering sustainable energy-efficient computing solutions, and embedding explainable, reliable, and trustworthy AI frameworks to build accountability across the high-tech ecosystem.

Research projects

Simulation-based machine learning – Trains machine learning models in simulated environments while bridging the “reality gap” to ensure robust real-world performance.

Predictive maintenance – Develops models for anomaly and out-of-distribution detection to monitor machine health and reduce unscheduled downtime.

Adaptive deep learning – Focuses on efficient online, continual, and distributed learning, allowing models to make real-time adjustments on live production streams.

 

Neuromorphic computing – Employs brain-inspired neuromorphic sensors and chips to minimize energy consumption while maximizing computational throughput.

Trustworthy deep learning – Develops novel methods to enhance the explainability, accountability, and overall trustworthiness of deep learning systems in high-tech manufacturing.

People

Partners

ASMPT is a leading global supplier of hardware and software solutions for the manufacture of semiconductors and electronics.

Radboud University (RU) is a general university in The Netherlands, active in almost all scientific fields, and one of the leading universities worldwide.

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