As Moore’s Law is ending, the convergence of HPC and AI is emerging with a new set of methods to complement conventional modeling, simulation, and data analytics to increase the potential to solve science’s greatest challenges.

• Overview of the new methods and then describe how they are being applied by global research teams across multiple science domains

• Results that are being achieved dramatically improve time to solution and accuracy at levels that would not have been possible without new methods.

• How to train a neural network for a custom task, like avoiding collisions with JetBot 

• Examples where the methods that are being proven using offline workflows, which have the potential to be directly applied to real time control

• Summarize the key features of the NVIDIA CUDA-X platform that is at the foundation of the science successes and to easily deploy the software with NGC

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