PhD Candidate Siyan Chen presenting recent results where state of the art AI-based forecasting models were evaluated for the task of wind estimation on several key locations in the Tromsø area.
Image:
Robert Jenssen

PhD Candidate Siyan Chen presenting recent results where state of the art AI-based forecasting models were evaluated for the task of wind estimation on several key locations in the Tromsø area.

Visual Intelligence represented at inaugural workshop in the P1 Arctic AI program

Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting" workshop:

Visual Intelligence represented at inaugural workshop in the P1 Arctic AI program

Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting": an inaugural workshop in the P1 Arctic AI program.

By Petter Bjørklund, Communications Officer at SFI Visual Intelligence

The workshop reflected the overall aim of the newly established P1 Arctic AI program, namely to contribute new knowledge leveraging AI in a scientific field which is vital for understanding rapid environmental change, supporting resilient communities and sustainable development, and protecting vulnerable ecosystems in a geopolitically important area for Denmark, Norway, and the countries in the Nordics and the UK.

Centre Director Robert Jenssen was one of the organizers via his affiliation with the Pioneer Centre for AI, University of Copenhagen. With this workshop, Visual Intelligence is setting extensive focus on the role of AI for forecasting and climate projections in the Arctic. From the centre's viewpoint, we are strengthening our ties with the P1 centre and with The Alan Turing Institute, two of our key strategic partners.

Jenssen, PhD Candidate Siyan Chen and Associate Professor Kristoffer Wickstrøm were among the over 40 participants from Denmark, Norway, Finland, UK, USA, Germany and Belgium that gathered for a very fruitful day of keynote talks, discussions and posters. The keynote talks included:

  • Tom Kelly, British Antarctic Survey, on the creation of large-scale, low-latency & low-level Antarctic datasets for sea ice prediction.
  • Lorenzo Zampieri, European Centre for Medium-Range Weather Forecasts (ECMWF), on observational requirements in the context of AI prediction systems for sea ice.
  • Elena Tomasi, Fondazione Bruno Kessler (FBK), on deep learning for high-resolution climate projections with latent diffusion.
  • Zheng-Hua Tan, Aalborg University, on self‑supervised learning and alignment for large multimodal models.
  • Louisa Van Zeeland, The Alan Turing Institute, on multimodal sea ice forecasting.
  • Simon Driscoll, University of Cambridge, on observationally based AI emulation of Arctic sea ice processes.

In addition, Chen presented recent results from Visual Intelligence where state of the art AI-based forecasting models were evaluated for the task of wind estimation on several key locations in the Tromsø area.

The workshop was organized by Centre Director Robert Jenssen, Tommy Sonne Alstrøm (Technical University of Denmark), Tian Tian (Danish Meteorlogical Institute).

Read more about the P1 Arctic AI program here

The P1 Arctic AI workshop attendees. Photo: Björg Birkholm Magnúsdóttir.
From the left: Centre Director Robert Jenssen, Associate Professor Kristoffer Wickstrøm, and PhD Candidate Siyan Chen. Photo: Tian Tian.

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