David Rolnick
@david_rolnick
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Assistant Professor in Computer Science, @mcgillu / @Mila_Quebec. Co-Founder and Chair, @ClimateChangeAI. MIT @techreview Innovator Under 35. he/him/his
Joined January 2015
Congratulations to the amazing @priyald17 for this very well-deserved honor!.
Beyond humbled to be on this year's #TIME100AI. AI can be an asset for climate & energy - but only if its development is guided by actual climate needs & planetary limits. Shoutout to those in the community working to shape a responsible, equitable, climate-aligned AI future 🌍💪
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RT @EnvDataScience: New article! 🌳🌍. Tree semantic segmentation from aerial image time series. 👉✍️Venkatesh Ramesh….
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Postdoc opportunity in collaboration with our lab on downscaling/superresolution for biodiversity, details here:.
community.climatechange.ai
As part of an IVADO initiative on AI and environment, a coalition of Montreal labs is recruiting a postdoctoral researcher for an interdisciplinary project applying state-of-the-art machine learning...
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Our remote sensing foundation model Galileo has been accepted to ICML 2025!.Galileo outperforms state-of-the-art across different input data modalities and shapes, and using it requires only minimal data and compute. More at:.
arxiv.org
We introduce a highly multimodal transformer to represent many remote sensing modalities - multispectral optical, synthetic aperture radar, elevation, weather, pseudo-labels, and more - across...
Meet Galileo (Global And Local flexIbLe Earth Observation): our new family of remote sensing foundation models that 🥇 ranks highest on benchmarks & is 🛰️ pretrained on 11 remote sensing datasets, ⿺ flexible to any input data shape, & 📉 optimized for large & small-scale objects
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Our paper on detecting abandoned oil wells with machine learning, led by @pratinavseth, is accepted at ICML 2025! These wells are a major source of emissions (and groundwater pollution). More details in the thread, and preprint here:
arxiv.org
Millions of abandoned oil and gas wells are scattered across the world, leaching methane into the atmosphere and toxic compounds into the groundwater. Many of these locations are unknown,...
I’m happy to share that our paper on detecting oil & gas wells with AI has been accepted to ICML 2025!. Millions of such wells exist, leaking methane & other toxins. We show how remote sensing can help find them, using high-resolution, multi-spectral satellite imagery. @icmlconf
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RT @BichoDatos: Bichodatos y su tropa de bichodateros listos para una nueva expedición entomológica en Panamá, esta vez al bosque nebular d….
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We have a new internship opportunity @Mila_Quebec in multimodal machine learning for forest monitoring using 3D point clouds. More details here:
community.climatechange.ai
See attachment for details!
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RT @sarameghanbeery: To assist in that upskilling, and to foster a community in which those impacted can help each other build AI skills, t….
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RT @Mila_Quebec: A new study from McGill University researchers, including Mila members Laura J. Pollock and @david_rolnick, shows that AI….
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Announcing our new paper (led by @ArthurOuaknine) compiling data on AI for forests, a fast-growing area important for land management, biodiversity preservation, and nature-based climate solutions.
New article!. OpenForest: a data catalog for machine learning in forest monitoring. 👉 By @ArthurOuaknine, @TejaKattenborn, @etnlalib and.@david_rolnick. #MachineLearning #RemoteSensing #data #forests
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Looking forward to speaking this Tuesday at the Sustainable AI Forum as part of the Paris AI Action Summit. Livestream available here (in English):. Merci aux @Ecologie_Gouv pour l'invitátion.
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RT @ClimateChangeAI: The AI Action summit in Paris is happening this week! CCAI will be represented by @LynnHKaack, @SashaMTL and @david_ro….
aiconference.ip-paris.fr
The conference “AI, Science, and Society” as part of the AI Action Summit aims to foster dialogue at the intersection of technological innovation, interdisciplinary scientific inquiry, and societal...
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RT @hannah_kerner: 📢 The deadline for paper submissions to the Machine Learning for Remote Sensing workshop at #ICLR2025 has been extended….
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Internship in our group at @Mila_Quebec in reinforcement learning + graphs for reducing energy use in buildings. More info and submit an application by Jan 13 here:. https://forms. gle/TCChXnvSAHqzPeMz5.(remove the space - added since Twitter now downweights posts with links).
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RT @joaquin_salas_: We are excited to announce that we are receiving, virtually, to @david_rolnick! He will deliver inspiring ideas about t….
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RT @ABC_ClimateCtr: Congratulations to @sarameghanbeery and @david_rolnick for being selected as 2024 AI2050 Early Career Fellows! . The AB….
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RT @ClimateChangeAI: We're excited to announce the next edition of our workshop "Tackling Climate Change with Machine Learning" at #ICLR202….
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The Climate Change AI workshop at NeurIPS tomorrow will be livestreamed for free, even if you weren't able to register for NeurIPS (which was oversubscribed this year)!.
Another highlight of our #NeurIPS2024 workshop on Sunday will be a panel discussion on small vs big models in ML for climate impact, featuring Chris Bretherton, Anamika Dubey & @BDilkina. Stream the whole workshop live & for free via our website:
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I'm honored to be included in this year's list of AI2050 Fellows! Looking forward to engaging with this great cohort of researchers on AI for the benefit of humanity.
We're thrilled to welcome the 2024 cohort of AI2050 Senior and Early Career Fellows –– 25 visionary researchers tackling AI's toughest challenges to ensure it serves humanity for the better. Learn more about this year’s cohort of fellows:.
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📢 @entalpic_ai is a @Mila_Quebec startup !. After spending some fantastic research years in the lab of @david_rolnick and @Yoshua_Bengio -- with my cofounder @vict0rsch -- we are happy to preserve that link ! 🤩.
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