Dr Charles Cheung | PIMS - Pacific Institute for the Mathematical Sciences

Senior Data Scientist and Deputy Director NVIDIA AI Technology Center HK | NVIDIA

Charles Cheung is a deep learning solution architect at NVIDIA. Before joining NVIDIA, he was a technical manager in a R&D centre leading the machine vision team to develop different solutions such as defect inspection, 3D reconstruction and 3D recognition for different industries. He received his PhD in Hong Kong Baptist University in applied mathematics focusing on numerical analysis for partial differential equation and meshless collocation method.

In this tutorial, we will walk through the basic of AI methodology such as Physics Informed Neural Network (PINNs), Neural Operator, etc for solving physical problems. i.e., PDE problem. We will introduce PhysicsNeMo, an SDK for training PINNs and...

Machine learning is transforming the way we approach the laws of nature. PhysicsML — the fusion of machine learning with physics-based modeling — is rapidly advancing fields from computational biology and climate forecasting to product design and...