This PhD position is part of the Global Wetland Center and the PhD student will be supervised by Christian Igel and myself. Join a vibrant research network through the Danish Pioneer Centre for AI @aicentre.dk, ELLIS @ellis.eu, and @climateainordics.com

PhD fellowship in Machine Learning for Environmental Sciences - Department of Computer Science, Machine Learning Section The Department of Computer Science, Machine Learning Section, invites applications for a fully-funded PhD fellowship. The position is part of the Global Wetland

Few days left!
Come work with us at University of Copenhagen! We have a fully funded PhD fellowship in Machine Learning for Environmental Sciences.

Submission deadline: April 06, 2026
Apply here: tinyurl.com/phd-ML-UCPH

🚀 𝗗𝗮𝘆 𝗧𝗵𝗿𝗲𝗲 𝗮𝘁 𝘁𝗵𝗲 #ELLISWinterSchool2026

Challenges – Group Work were continued, where participants collaborated intensively. Asst. Prof. @nicolang.bsky.social (University of Copenhagen & Climate AI Nordics) gave a panel talk.
🗓 Our programme: meditwin-project.eu/ellis-winter...
@ellis.eu

📢 Submit your abstract for the final Open-Earth-Monitor Global Workshop!

Join us in Barcelona and share your work on:
🌳Forests & Biodiversity,
🌾Soil–Water–Agriculture,
🔬Climate & Health
through #EO, #GeoAI & #opendata.

🌐Details and Submission: earthmonitor.org/global-works...

How does AI interact with culture?

We’re thrilled to have Dr. Maria Antoniak (@mariaa.bsky.social) join us at FGVC! Her interdisciplinary work on AI in the humanities brings a new perspective to our workshop: the fine-grained categorization of the intangible parts of culture. See you at #CVPR2026!

Climate AI Nordics Newsletter, February 2026

The Feb 2026 Climate AI Nordics Newsletter is out! 🌍🤖

In this issue:
🦋 The new Open-Insect biodiversity dataset
🌍 Paola Vesco (PRIO) on ML, climate extremes & conflict
📅 Upcoming AI & climate events
💼 Open PhD & ML roles (RISE, KTH, SLU)

Read it here: climateainordics.com/newsletter/2...

🚨 Updated Deadline Alert!

We have extended the deadline for the Proceedings from Feb 27th to Mar 3rd.

#CVPR #CV #AI

Longer summary posts on the project:
🌎 www.linkedin.com/posts/lucia-...

🌍 www.linkedin.com/posts/n-lang...
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Team: Lucia Gordon @luciagordon.bsky.social , @serge.belongie.com , Christian Igel, Nico Lang @nicolang.bsky.social

Thanks to the Pioneer Centre for AI (P1) @aicentre.dk , Global Wetland Center, and ELIAS - European Lighthouse of AI for Sustainability for supporting this project.
[4/n]

Second, we propose a test-time training (TTT) approach as an alternative way of making use of multiple modalities at test time. We show that multimodal pretext tasks can serve as a test-time adaptation signal.
[3/n]

First, we introduce MMEarth-Bench, a benchmark dataset built to work collectively on the major challenges in remote sensing: Learning from limited reference data, robustness to geographic domain shifts, and resolving ambiguities when estimating biophysical quantities from observational data.
[2/n]

Super excited to have this work out, led by our amazing Lucia Gordon (@luciagordon.bsky.social):
“MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training”

Project page: mmearth-bench.com
Paper preprint: arxiv.org/abs/2602.06285
Code and dataset: github.com/lgordon99/mm...

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Are you ready for a challenge?
For this year’s FathomNet Kaggle Competition, we’re tackling one of the biggest challenges in computer vision for marine imagery: incomplete labels.

Dive in today: www.kaggle.com/competitions...

🤖🌊🧪🐙

EurIPS 2025 - AICC workshop - YouTube The AICC workshop was held on Saturday, December 6th, at the University of Copenhagen South Campus as a key part of the EurIPS 2025 conference. The primary g...

Recordings of our EurIPS AICC workshop are released!

Watch the talks by Philippe Ciais, Sagar Vaze, Natalie Iwanycki Ahlstrand, Drew Purves, and Mirela Beloiu Schwenke.

Thanks to @climateainordics.com @aicentre.dk and DDSA - Danish Data Science Academy.

@euripsconf.bsky.social

Our FGVC13 workshop is coming to #CVPR2026!

Call for papers is out: sites.google.com/view/fgvc13

Big thanks to our artists Mehmet Ozgur Turkoglu and Sophie Stalder for creating our new look and mascot!

@cvprconference.bsky.social

We have two open PhD positions at the interface of AI and ecology. Start dates are Sept 2026.

We are looking for candidates with a background in AI/CS, Math, Stats, or Physics that are passionate about solving challenging problems in these domains. 

Application deadline is in two weeks.

How AI is unearthing hidden scientific knowledge Scientists estimate that 80 percent of life on Earth is still unknown to humanity. But as global temperatures rise, habitats shrink and food and water sources dry up, we're losing these species faster...

Watch the full talk at go.ted.com/sarabeery

If you're interested in learning more about the science behind it, we've just released a preprint describing the methodology and the tool we've built: arxiv.org/abs/2511.15656

Super-stoked to release this project with @nicolang.bsky.social & Team! Check it out at the respective links, and test the demo to super-resolve Sentinel-2 satellite images anywhere on earth 🌍 🔍

The team: Sander Riisøen Jyhne (@sjyhne.bsky.social), Christian Igel, Morten Goodwin, Per-Arne Andersen, Serge Belongie (@serge.belongie.com), Nico Lang (@nicolang.bsky.social)

Thanks to the Pioneer Centre for AI (@aicentre.dk) and the Global Wetland Center for supporting this project. [n/n]

Hence, our method is not prone to hallucinations, as is often the case with generative approaches. We tested SuperF on both ground-level image bursts and satellite imagery. Ultimately, Sander built a demo app to super-resolve Sentinel-2 satellite images for any place on Earth - try it out. [4/n]

In this way, SuperF leverages the continuous nature of INRs for both the sub-pixel alignment and signal reconstruction.
Our test-time optimization approach operates solely on low-resolution images and does not require any training on high-resolution data. [3/n]

Building on the established idea of utilising sub-pixel shifts from repeated observations, we developed SuperF, an approach based on implicit neural representations (INRs) that jointly aligns multiple low-resolution images while representing the underlying high-resolution signal. [2/n]

What if we could see between the pixels? We’ve been working on a new approach to super-resolve images by combining multiple low-resolution views of the same scene.

Project page: sjyhne.github.io/superf/
Preprint: www.arxiv.org/abs/2512.09115
Demo: huggingface.co/spaces/sjyhn...

Thread [1/n] 👇

Inspiring TED talk by Sara Beery @sarameghanbeery.bsky.social 🤩

How can #AI help us understand & protect our planet? 🌍

Join us for the AI for Earth & Climate Sciences Workshop, part of the ELLIS UnConference (in Copenhagen 🇩🇰 on Dec 2), co-located with #EurIPS.

🕒 Submit workshop contributions by Oct 24, 2025
🔗 All info: eurips.cc/ellis

The submission deadline is extended to October 20, AoE!

Working on representation learning for Earth Observation?
Come join the discussion at the EurIPS workshop "REO: Advances in Representation Learning for Earth Observation"

Call for papers deadline: October 15, AoE
Workshop site: sites.google.com/view/reoeurips

@euripsconf.bsky.social @esa.int

Submission deadline extended to October 15, AoE.
Workshop site: sites.google.com/g.harvard.ed...

Looking forward to the AICC workshop at EurIPS (Dec 6/7) in Copenhagen!

Are you working at the intersection of AI and Climate or Conservation applications?
This is a great opportunity to discuss your novel and recently published research.

Call for participation: sites.google.com/g.harvard.ed...

We are not missing out! FGVC12 is excited to support "FOMO25: Foundation Model Challenge for Brain MRI".
This MICCAI25 challenge is still running and there is still time to participate!

Submission deadline: August 20, 2025
Join here: fomo25.github.io
Check out the thread below👇