3D Generative Design: Applications & Explainability Research


3d generative design applications and explainability monoloth ai

3D Generative Design With Monolith AI


March 28, 2022

Deep generative models are machine learning techniques capable of automatically abstracting information of a high dimensional domain without the bias of a human user. These techniques enable the generation of efficient geometric representations which can be utilised for a variety of purposes such as prediction of performance quantities or optimisation of geometry. This presentation will cover use cases of how Monolith AI has deployed these types of models to solve our clients' problems. Despite the flexibility of such models; overcoming their inherent black-box nature is, we believe, the key to wider adoption in the engineering domain. This presentation will cover some of the research directions we are working on to help overcome these limitations.Presented by Peter Wooldridge at AAAI 2022 ADAM Workshop.‍

Who should watch?

Engineers spending time doing repetitive, costly & time-intensive tests

Engineers working on cutting edge projects and products in the pharma sector

Engineers who want to test less, learn more, and explore their test data

Anyone interested in using self-learning models for complex systems

Watch the On-Demand Webinar