What is the configuration when the product has an AI?

In my previous article, I wrote about Export Control and Machine Learning, where it can be very difficult to determine how Export Rules apply in complex cases like Federated Learning. This series of articles was triggered by the excellent podcast ‘Maintaining the Physics Model within AI & ML’ Pt1 and Pt2 by Arnaud Hubaux from ASML and Max Gravel from IpX and the video from Arnaud on Taming the AI Demon to sustain innovation.  This article will explore the question: What is the configuration of… Read More »What is the configuration when the product has an AI?

A Glimpse into the future of CM – #2

Part 2: How to structure the various types of models and datasets? It is no secret that product complexity keeps increasing and with that the number of dependencies increases as well. Not only product complexity also supply chain complexity increases. So how can you ensure that all information for a product/platform is captured and structured in such a way that it facilitates the change process efficiently and effectively? It all… Read More »A Glimpse into the future of CM – #2