mogren.ml - Profile | ThreadSky | a Reddit-style client for Bluesky

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submitted 26 days ago • 0 comments

Webinar on Thursday! Abdulhakim Abdi from Lund University: Tech-informed nature conservation - are we there yet? 15:00 CET. Connect using Zoom. Free registration!

submitted 19 days ago • 0 comments

globalwetlandcenter.ku.dk

submitted 30 days ago • 0 comments

Latest data from @copernicusecmwf.bsky.social shows: January 2025 was the warmest January globally on record 🌡️ 1.75ºC above pre-industrial level 🌊 Second highest global SST, 0.19°C below January 2024 #ClimateAction 🧪⚒️🌍

submitted 31 days ago • 7 comments

Announcing Climate AI Nordics core team: @mogren.ml, @aleksispi.bsky.social 🇸🇪 Francesca Larosa, KTH 🇩🇰 @ankitky.bsky.social 🇳🇴 @stefanopuliti.bsky.social 🇫🇮 Hilda Sandström, Aalto University 🇸🇪 @johnmartinsson.org 🇳🇴 Sigrid P. Hellan, NORCE / @bjerknes.bsky.social climateainordics.com/about/

submitted 32 days ago • 0 comments

Preprint from Climate AI Nordics researchers: "Large language models in climate and sustainability policy: limits and opportunities." Examines NLP applied to climate and sustainability documents, to derive policy-relevant and actionable measures. arxiv.org/abs/2502.02191 climateainordics.com #ccai

submitted 32 days ago • 0 comments

🌍📡 Join our webinar: Tech-Informed Nature Conservation – Are We There Yet? 🌱🤖 Explore AI, Earth observation & biodiversity protection! With Abdulhakim Abdi from Lund University 📅 Feb 20, 2025 climateainordics.com/events/2025-... #ClimateAI #ccai #TechForNature

submitted 33 days ago • 0 comments

So amazing to see all new people joining @climateainordics.com ! We are now more than 100 people!

submitted 37 days ago • 0 comments

New partnership between Climate AI Nordics and The Swedish Centre for Impacts of Climate Extremes (CLIMES) 🌍 CLIMES is a platform for research and training to promote scientific progress in the study of climate extremes and support societal resilience. www.climes.se

submitted 38 days ago • 0 comments

Featured Paper: Deep learning-enhanced detection of road culverts in high-resolution digital elevation models: Improving stream network accuracy in Sweden #ccai #cain 🌳🌲🍃💧 @williamlidberg.bsky.social

submitted 40 days ago • 0 comments

Recordings of the SSL4EO-2024 summer school are now released! This blog post summarizes what has been covered: langnico.github.io/posts/SSL4EO... Recordings: www.youtube.com/playlist?lis... Course website: ankitkariryaa.github.io/ssl4eo/ [1/3]

submitted 44 days ago • 3 comments

Happy to share that I defended my PhD this weekend! 🎉🎓 A great thank you to my supervisors, Sarunas Girdzijauskas and @mogren.ml. I'd also like to give a special thanks to Mark Jelasity and my grading committee: Sonja Buchegger, Eirini Ntoutsi, and Anwitaman Datta.

submitted 41 days ago • 0 comments

Partnership between Climate AI Nordics and AfriClimate AI 🌍 AfriClimate AI is a grassroots community dedicated to harnessing the power of AI for a sustainable, prosperous and climate-resilient Africa. We hope this will inspire further collaborations between our two regional AI-for-climate networks!

submitted 47 days ago • 0 comments

Our thoughts are currently with firefighters and victims struggling with the current fires in LA. The ML community can contribute by developing data and models to improve the detection.

submitted 52 days ago • 0 comments

When extracting streams from high-resolution digital elevation models, road culverts can be a pain. I explored an approach where a residual attention UNet was used to identify and breach road culverts, utilising ALS data and orthophotos. It works but produces a fair amount of false positives.

submitted 57 days ago • 1 comment

Have you considered simply not living on a climate vulnerable planet?

submitted 58 days ago • 5 comments

Internship in our group at Mila in reinforcement learning + graphs for reducing energy use in buildings. More info and submit an application by Jan 13 here: forms.gle/TCChXnvSAHqz... Questions? Email [email protected] with [intern!] in the subject line.

submitted 59 days ago • 0 comments

Join us for Benjamin Cretois talk about soundscape analysis for biodiversity monitoring on February 6!

submitted 59 days ago • 0 comments

Climate AI Nordics is growing! Read about some of our activities in the newsletter, and join us to take part in the discussion!

submitted 79 days ago • 0 comments

#ccai

submitted 86 days ago • 0 comments

#ccai

submitted 86 days ago • 0 comments

I've just launched my new webpage, johnmartinsson.org, where I share my research on machine listening for bioacoustics and ecosystem monitoring. Especially happy about the little clickable animal icons in the top. Click on a few to make a soundscape! #Bioacoustics #MachineLearning #MachineListening

submitted 89 days ago • 0 comments

Talk: Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration As climate change issues become more pressing, their impact in Africa calls for urgent, innovative solutions tailored to the continent’s unique challenges. While ... #ccai >>Read more!<<

submitted 93 days ago • 0 comments

30 people are now registered for the 2025 Nordic Workshop on AI for Tackling Climate Change! First 65 participants register for free! Check out the program: ccainordics.com/events/2025-... ! @oisinmacaodha.bsky.social @aleksispi.bsky.social @johnmartinsson.bsky.social @nicolang.bsky.social #ccai

submitted 95 days ago • 0 comments

News: Featured Paper: ONEKANA: Modelling Thermal Inequalities in African Cities ONEKANA: Modelling Thermal Inequalities in African Cities addresses thermal disparities for vulnerable populations disproportionately affected by extreme heat due to environmental and socioecono... #ccai >>Read more!<<

submitted 96 days ago • 0 comments

#ccai

submitted 96 days ago • 0 comments

#ccai

submitted 96 days ago • 0 comments

Attending NeurIPS next week? Drop by by our poster for the paper "GOMAA-Geo: GOal Modality Agnostic Active Geo-localization"! Go to East Exhibit Hall A-C #1403 on Dec 11th 4:30pm, where Anindya Sarkar (WashU) will present our work. Paper: arxiv.org/abs/2406.019... Code: github.com/mvrl/GOMAA-Geo

submitted 97 days ago • 0 comments

Excited to announce that we're running the Second NLP for Climate Workshop at #ACL2025! Follow along at @climate-nlp.bsky.social. We're keen to see submissions from NGOs and industry as well as academia: I'm personally very interested in research that considers closely its real-world application

submitted 103 days ago • 2 comments

Today's talk on Estimation of water quality parameters using remote sensing data and machine learning models by Alireza Taheri Dehkordi, Lund University. Tune in on Zoom!

submitted 101 days ago • 0 comments

Our Intelligent Earth Centre for Doctoral Training in AI for the Environment @intelligentearth.bsky.social @universityofoxford.bsky.social is accepting applications! > 20 fully-funded PhD studentships available. Deadline 8 January. Virtual open day on 26 Nov: intelligent-earth.ox.ac.uk/how-apply

submitted 104 days ago • 1 comment

congratulations, @ian-goodfellow.bsky.social, for the test-of-time award at @neuripsconf.bsky.social! this award reminds me of how GAN started with this one email ian sent to the Mila (then Lisa) lab mailing list in May 2014. super insightful and amazing execution!

submitted 102 days ago • 3 comments

#ccai

submitted 102 days ago • 0 comments

🌍🤖 Excited to introduce Climate Change AI Nordics! We're a network of researchers in Sweden, Denmark, Norway, and Finland, harnessing AI to tackle climate change through innovative solutions in mitigation, adaptation, and sustainability. Join us! 🌱💡 #ccai Learn more: ccainordics.com

submitted 103 days ago • 0 comments

The first Nordic Workshop on AI for Tackling Climate Change, May 13th, 2025, in Sweden. Stay tuned for more details at climes.se/events and ccainordics.com Oisin Mac Aodha - Stefanos Georganos - Edmond Sacre - Amal Nammouchi - David Thulke - Shorouq Zahra - Alouette van Hove #ccai

submitted 110 days ago • 1 comment

Ever wanted to train your own 13B Llama2 model from scratch on a 24GB GPU? Or fine-tune one without compromising performance compared to full training? 🦙 You now can, with LoQT: Low-Rank Adapters for Quantized Pretaining! arxiv.org/abs/2405.16528 1/4

submitted 111 days ago • 2 comments

This week, we're thrilled to welcome JANNI YUVAL (Google / MIT) to our Lecture in #Climate #Data Science! 📅 Thursday, Nov. 14, 2024 🕛 12:00pm EDT 📍 In-person + via Zoom 💻 RSVP at bit.ly/3YNNwih 👀 And check out our remaining Fall24 Lectures! bit.ly/4cGwCqT #LEAPEducation #climateadaptation #ML

submitted 116 days ago • 0 comments

Join RISE Learning Machines this afternoon at 15 CET! Ankit Kariryaa will talk about remote sensing and deep learning for the analysis of trees on individual tree level! Click below for a pre-seminar interview! Register here: ri.se/lm-sem youtu.be/xrwFzYt-md4 #ccai #ecology #trees

submitted 136 days ago • 0 comments

Yesterday, I spoke at TEDx about what we can do with AI to help with climate mitigation and adaptation. You can see the talk on youtube. Spoiler: it's not a silver bullet, but there are certainly issues where it can help. Our outlook is bleek and we need action. #ccai www.youtube.com/watch?v=idqw...

submitted 296 days ago • 6 comments

Today, I'll be speaking about tackling climate change using AI at TEDxKTH. You can join online for free (in-person is fully booked). www.kth.se/en/bibliotek... #ccai

submitted 298 days ago • 0 comments

Hour 26 of the journey to #ICLR on the ÖBB Nightjet. A few hours late, but Priya Donti's keynote on "Why your work matters for climate in more ways than you think" is streaming nicely!

submitted 306 days ago • 1 comment

6 more days to the deadline of the CLIMES summer school 2024! An interdisciplinary summer school on the impacts of climate extremes in Uppsala, Sweden. Topics include AI for tackling climate change, social science perspectives, and connections to health. www.climes.se/summerschool/ #ccai

submitted 352 days ago • 0 comments

In RISE Learning Machines, March 28: Yonghao Xu on Machine learning for remote sensing ri.se/lm-sem #ccai

submitted 352 days ago • 0 comments

Come work as a postdoc with my colleagues on AI for medical imaging and bioinformatics in Sweden! www.ri.se/en/work-with...

submitted 352 days ago • 0 comments

Thursday in RISE Learning Machines: Santiago Martinez Balvanera, University College London, on Data-driven bat monitoring: leveraging machine learning for effective solutions. #ccai #machinelearning 🧪 More info: ri.se/lm-sem

submitted 361 days ago • 0 comments

"In particular, the proposed metric is sensitive to dimensional collapse and thus is superior to the existing one. Finally, using the proposed uniformity metric as an auxiliary loss within existing self-supervised learning methods consistently improves their performance in downstream tasks."

submitted 370 days ago • 0 comments