Nick Sullivan, and Adam Langley join Melanie and Mark to provide a pragmatic view on post-quantum cryptography and what it means to research security for the potential of quantum computing. Post-quantum cryptography is about developing algorithms that are resistant to quantum computers in conjunction with “classical” computers. It’s about looking at the full picture of potential threats and planning on how to address them using a diversity of types of mathematics in the research. Adam and Nick help clarify the different terminology and techniques that are applied in the research and give a practical understanding of what to expect from a security perspective.
Jessica Forde, Yuvi Panda and Chris Holdgraf join Melanie and Mark to discuss Project Jupyter from it’s interactive notebook origin story to the various open source modular projects it’s grown into supporting data research and applications. We dive specifically into JupyterHub using Kubernetes to enable a multi-user server. We also talk about Binder, an interactive development environment that makes work easily reproducible.
Bryan Catanzaro, the VP Applied Deep Learning Research at NVIDIA, joins Mark and Melanie this week to discuss how his team uses applied deep learning to make NVIDIA products and processes better. We talk about parallel processing and compute with GPUs as well as his team’s research in graphics, text and audio to change how these forms of communication are created and rendered by using deep learning.
This week we are also joined by a special co-host, Sherol Chen who is a developer advocate on GCP and machine learning researcher on Magenta at Google. Listen at the end of the podcast where Mark and Sherol chat about all things GDC.