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2019 GTC San Jose

S9744 - Industrial AI: Probabilistic Physics-infused Deep Learning Applications

Session Speakers
Session Description

We will highlight the power of hybrid probabilistic deep learning by discussing how this approach is used for building system-of-system models for large-scale systems such as refineries, power generation systems, and gas compression systems. We'll cover how GPUs accelerate all three applications, with a focus on a time series prediction model for predicting overall production in a large oil field with multiple changing parameters.


Additional Information
Predictive Maintenance/Monitoring
AI/Deep Learning Research Advanced AI Learning Techniques (Incl. GANs/NTMs) Predictive Maintenance/Monitoring
Energy
All technical
Talk
50 minutes
Session Schedule