Generative AI for Climate and Weather
The stunning recent advances in frontier AI models rely on cutting-edge, generative deep learning algorithms and architectures trained on massive amounts of text, image, and video data. With different training data, these algorithms and architectures can benefit a variety of applications for addressing climate change. As opposed to text and video, the relevant training data includes weather and climate data from observations, reanalyses, and even physical simulations.
Many applications aimed at addressing climate change hinge on fundamental challenges of data fusion, interpolation, downscaling, and probabilistic domain alignment. Claire Monteleoni will provide a survey of recent work developing generative AI methods for these problems, with applications including weather forecasting, climate model emulation and scenario interpolation, and renewable energy planning.
Spotlight on Diverse
Career Trajectories
About the Series
Many are the young scientists wishing to pursue a career in research, but decidedly less are those knowing in which key area they should specialise. This holds especially true in the fast-paced and developing AI field, where economical, societal and scientific stakes are high; it can thus be difficult for junior researchers to reconcile current AI research with long-term goals such as a sustainable and ethical use of AI for future generations.
Furthermore, while it is relatively easy to identify the PhD degree as a first step in this sometimes daunting journey, the path forward is often unclear: what comes next after the PhD defence? How many postdoc positions is enough? How to best incorporate evolving research interests?
This new series of seminars aims to support young researchers keen to embark on an AI journey, by exploring diverse career paths within the double scope of Sustainable AI and AI for Sustainability. Sessions focus on internationally renowned speakers from diverse backgrounds whose past and/or present research strives to ensure a fair, sustainable use of AI in various fields. Following a short keynote, a discussion will follow where the guest researchers discuss different topics pertaining to their career of choice, how they came to embrace it, as well as the trials they faced along the way.