When machine learning was first invented, the infrastructure for processing earth observation data was incredibly slow, often taking days or weeks to generate results. But recent breakthroughs in hardware and software have revolutionized our ability to collect, process, and analyze geospatial data, unlocking new possibilities for research, mapping, and environmental monitoring. At the forefront of this revolution is NVIDIA, whose innovative technologies are transforming the field. In this episode, we explore the latest advancements in GeoAI hardware and architectures with Dr. May Casterline, Principal Solutions Architect with NVIDIA, and Dr. Brent Bartlett, Senior Solutions Architect at NVIDIA. Together, they share insights on how NVIDIA's unique solutions are enabling faster, more accurate, and more insightful geospatial data processing. We also examine what this means when it comes to challenges like the data bottleneck, and the ways NVIDIA is approaching these problems from a new perspective.
Down To Earth: A podcast for Geoscientists by Geoscientist