NVAITC Webinar Series on AI Applications in Computational Sciences
NVIDIA AI Technology Center Finland in collaboration with FCAI and CSC are pleased to announce a webinar series focusing on AI applications in computational sciences, with a goal of bringing together AI researchers and researchers in other fields. Each webinar will highlight a different scientific field and they are given by domain-specific experts who are using AI as part of their numerical simulation workflows. The webinars will be running from the beginning of March approximately every three weeks as part of the AI Across Fields Forum. Confirmed topics include AI in Atmospheric Science, AI in Computational Fluid Dynamics and AI in Material Science. There is no registration and Zoom details will be included in separate session announcements. The first session on AI in Atmospheric Science by Dr. David Hall (NVIDIA) will take place on 4 March 2021.
Session 1 - AI in Atmospheric Science
4 March 2021, 16:00
Dr. David M. Hall (NVIDIA)
Abstract:
In this talk, I will give a high-level overview of supervised deep learning and how it may be applied to applications in weather, climate, and the earth system sciences. Supervised deep learning is a new and powerful technique for building software from data. In contrast with traditional programming, deep learning functions are built automatically from a labelled dataset, describing what you want the function to do, rather than how to do it. With this approach, we are able to build next-generation software capabilities that were previously unachievable. Some promising applications of AI for the Earth system include automated feature detection and data thinning, strategic planning, GPU model acceleration, image enhancement, more accurate physical parameterizations, and more. As with any technique, deep learning comes with its own unique set of challenges, which I will discuss, as well as techniques being developed to overcome them.
Biography:
Dr. David M. Hall is a Data Scientist at NVIDIA. His research focuses on applications of Artificial Intelligence and Deep Learning for the Earth and Space sciences. Previously, Dr. Hall held positions as an Assistant Professor of Research in the Computer Science Department at CU Boulder, and as a Research Scientist at the National Center for Atmospheric Research. He has a broad technical background in theoretical physics, computational fluid dynamics, remote sensing, numerical methods, weather and climate modeling, and artificial intelligence. Before joining NVIDIA, Dr. Hall spent much of the previous decade developing numerical techniques to improve the atmospheric components of the CESM and E3SM global climate models. Dr. Hall earned a PhD in Soft Condensed-Matter Physics from the University of Santa Barbara, CA and a BA in Physics from CU Boulder.
NVIDIA AI Technology Center (NVAITC) is a joint research center of the Finnish Center for Artificial Intelligence FCAI, NVIDIA, and the Finnish IT Centre for Science CSC. NVAITC accelerates research, education and adoption of artificial intelligence in Finland.