21 min
Pt 1: Maintaining the Physics Model within AI & ML with Arnaud Hubaux, ASML IpX True North Podcast
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- Business
In this episode of the True North Podcast, IpX Director of MBE, Max Gravel and Senior Technical Program Manager, ASML, Arnaud Hubaux discuss the challenges of maintaining the physics model in AI/ML with rapidly changing datasets.
Arnaud gives a detailed review of how ASML uses AI to deliver greater value through new products for their customers and to accelerate manufacturing processes by qualifying high performing parts. Max and Arnaud discuss ASML’s unique approach to machine learning solutions with customers and how AI optimizes production and performance. Hear Arnaud break down:
The challenges and necessity of explainability in AI/ML — where a causal clarification is needed between the observed effects and what is really happening physically in order to improve future designEnsuring continual guaranteed performance upon installation and after deployment of their machines to manage drift and ensure dataset accuracy The challenge and criticality of safety for people and materials first Defining and maintaining baselines consisting of thousands of parameters between both design and production Understanding the change impact to physics models: how to perform validation and verifications activities on the physics models before changes are applied to the customer product in order to mitigate risks with machine behavior.Connect with IpX to hear from more industry thought leaders and to learn about the True North service model for improving your organization. https://ipxhq.com/
Stay in touch with us!
Follow us on social: LinkedIn, Twitter, Facebook
Contact us for info on IpX or for interest in being a podcast guest: info@ipxhq.com
All podcasts produced by Elevate Media Group.
In this episode of the True North Podcast, IpX Director of MBE, Max Gravel and Senior Technical Program Manager, ASML, Arnaud Hubaux discuss the challenges of maintaining the physics model in AI/ML with rapidly changing datasets.
Arnaud gives a detailed review of how ASML uses AI to deliver greater value through new products for their customers and to accelerate manufacturing processes by qualifying high performing parts. Max and Arnaud discuss ASML’s unique approach to machine learning solutions with customers and how AI optimizes production and performance. Hear Arnaud break down:
The challenges and necessity of explainability in AI/ML — where a causal clarification is needed between the observed effects and what is really happening physically in order to improve future designEnsuring continual guaranteed performance upon installation and after deployment of their machines to manage drift and ensure dataset accuracy The challenge and criticality of safety for people and materials first Defining and maintaining baselines consisting of thousands of parameters between both design and production Understanding the change impact to physics models: how to perform validation and verifications activities on the physics models before changes are applied to the customer product in order to mitigate risks with machine behavior.Connect with IpX to hear from more industry thought leaders and to learn about the True North service model for improving your organization. https://ipxhq.com/
Stay in touch with us!
Follow us on social: LinkedIn, Twitter, Facebook
Contact us for info on IpX or for interest in being a podcast guest: info@ipxhq.com
All podcasts produced by Elevate Media Group.
21 min