ESReDA Webinars on “Trustworthy Complex and Intelligent Systems”: Structured models of physics, objects, and scenes

This talk will describe various ways of using structured machine learning models for predicting complex physical dynamics, generating realistic objects, and constructing physical scenes. The key insight is that many systems can be represented as graphs with nodes connected by edges, which can be processed by graph neural networks and transformer-based models. By considering the underlying structure of the problem, and imposing inductive biases within our models that reflect them, we can often achieve more accurate, efficient, and generalizable performance than if we avoid using principled assumptions.

Peter Battaglia is a research scientist at DeepMind working on approaches for reasoning about and interacting with complex systems.

Trustworthy Complex and Intelligent Systems Webinar Series

This series is a collaboration between the European Safety, Reliability & Data Association (ESReDA), the ETH Zürich Chair of Intelligent Maintenance Systems, ETH Risk Center, the Norwegian Research Center for AI Innovation (NorwAI) and DNV GL.

Webinars will be run monthly throughout 2021 exploring the themes of trust, ethics and applications of AI and novel technology in complex and safety critical intelligent systems.

Next webinar:

Trustworthy Industrial Systems
with
Asun St. Clair, DNV GL
19 March 2021, 16:00 CET

For further information contact:

Siegfried Eisinger siegfried.eisnger@dnvgl.com
Olga Fink fink@ibi.baug.ethz.ch
Elizabeth Traiger elizabeth.traiger@dnvgl.com

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