Extending ADAT2 equipment lifetime
Noblean Harm Schepens is featured in Mikroniek’s 5th issue with his thesis on extending ADAT2 equipment lifetime.
You can read the full article here
Nobleo contributed core technologies, including high-speed camera control and AI-based defect detection, powered by our in-house NoblAI framework.
Bram's enthusiasm and dedication prompted Nobleo to support his graduation project focused on reinforcement learning for mobile robot navigation, which later evolved into a whitepaper co-authored with two other Nobleo colleagues. >>>> READ MORE
One of our customers faced a significant technical challenge: migrating an operational ROS 1-based system to ROS 2. Read the article to learn more about this case.
How do you design a smart, robust and scalable Battery Energy Storage System (BESS) without compromising on speed or quality?
Over the next few months our Nobleans will take part in an Enneagram workshop led by our very own Marc Vos.
Nobleans are encouraged to keep developing their skills. recently, Patrick Houben was interviewed by High Tech Institute about his experience with the course passive damping for high-tech systems.
After studying Electrical Engineering at the Eindhoven University of Technology, Rick found his perfect match at Nobleo.
The semiconductor industry is evolving at a fast pace. We discuss the key developments that we anticipate to significantly impact the future of lithography.
Nobleo's engineers work both in-house and at customer sites with project based high-tech engineering. Joyce: "Iโm getting to know different domains and Iโm learning more and faster."
Noblean Rik Wetzels took the stage at the Salland Engineering (Europe) B.V. Test Technology Symposium! Rik shared how we use machine learning to effectively improve photonic wafer inspection.
How do you ensure defect-free photonic integrated circuits (PICs) at scale? Nobleo Technology plays an important role in Semicon 08, a project focused on developing advanced inspection and testing solutions for photonic chips.
How do you ensure robots can navigate efficiently in complex and dynamic environments without excessive costs and requiring endless fine-tuning?