An introduction to the National Geospatial-Intelligence Agency and its support of US national security. This will include an overview of the NGA Research Directorate and brief description of the offices and divisions that comprise the range of research areas of NGA Research. Time will be alloted for Q&A related to career paths and research opportunities.
February 1, 2023: Intro to PyTorch - Priyam Mazumdar Training Overview: This tutorial will introduce basics of PyTorch framework necessary to build a neural network, train it and evaluate the accuracy of the model
Speaker: Jong Yeon Lee, University of California Santa Barbara
February 8, 2023: Intro to Tensor Flow - Shirui Luo Training Overview: This tutorial will introduce basics of TensorFlow necessary to build a neural network, train it and evaluate the accuracy of the model.
February 15, 2023: Distributed Data Parallel Model Training in PyTorch - Shirui Luo Training Overview: This tutorial walks through distributed data parallel training in PyTorch via DDP. We will start with a simple non-distributed training job, and end with deploying a training job across several GPUs in a single HAL node.
Speaker: Archana Kamal, Associate Professor, Department of Physics & Applied Physics, University of Massachusetts Lowell
Speaker: Sandy Irani, Professor, Computer Science, University of California, Irvine
February 22, 2023: Robust Physics-Informed Neural Networks - Avik Roy Training Overview: Physics Informed Neural Networks (PINNs) have recently been found to be effective PDE solvers. This talk will focus on how traditional PINN architectures along with physics-inspired regularizers fail to retrieve the intended solution when training data is noisy and how this probl
Speaker: Yiwen Chu, Professor, Department of Physics, ETH Zürich