Carl Case is a Senior Architect in Compute Architecture at NVIDIA, where he works on reduced-precision arithmetic for training deep neural networks. His focus is optimizing the entire stack of deep learning training, from hardware to high-level software, to accelerate the pace of AI development. Previously, he worked as a machine learning researcher on Deep Speech and its successor speech recognition systems at Baidu's Silicon Valley AI Lab.