Recent AI advances enable modeling of weather forecasting 4-5 magnitudes faster than traditional computing methods.
The brightest leaders, researchers and developers in climate science, high performance computing and AI will discuss such technology breakthroughs — and how they can help foster a greener Earth — at NVIDIA GTC.
The virtual conference, running Sept. 19-22, also includes expert talks about more industries that will be transformed by AI, including healthcare, robotics, graphics and the industrial metaverse.
A dozen sessions will cover how accelerated computing can be used to predict, detect and mitigate climate-related issues. Some can’t-miss speakers include the following:
- Anima Anandkumar, NVIDIA’s senior director of machine learning research, and Karthik Kashinath, NVIDIA’s AI and HPC engineering lead, will cover how the company’s Earth-2 supercomputer will improve predictions of extreme weather events and accelerate effective climate-change mitigation using physics-informed machine learning and digital twin simulation.
- Tab Tang, president of the general-purpose server field at xFusion Digital Technologies, will present how low-carbon computing power can be used to power data centers, resulting in high efficiency and energy savings for the digital economy.
- Edoardo Nemni, data scientist at the United Nations Satellite Centre; Alison Lowndes, principal scientist at NVIDIA; and Shilpa Kolhatkar, global head of AI nations business development at NVIDIA, will discuss how AI and deep learning can be used for real-time monitoring of Earth with geospatial satellite imagery — to predict and respond to natural disasters, as well as manage energy sources.
- Dirk Van Essendelft, William Epting and Tarak Nandi from the National Technology Laboratory, will highlight how physics-machine learning technology powered by the NVIDIA Modulus framework and Omniverse simulation platform can help the lab reach its zero-carbon emission target.
- Talmo Pereira, principal investigator at the Salk Institute for Biological Studies, will focus on how the NVIDIA TensorRT framework, Triton Inference Server and GPUs — working with the Run:ai Atlas cloud platform — can bolster climate adaptation efforts by capturing biological movement of living entities.