Register for the Climate Change AI Virtual Summer School 2026 starting July 19! The program will feature an exciting lineup of lectures and tutorials exploring the intersections of artificial intelligence and climate action. 🎉🤖🌱
David Rolnick
@drolnick.bsky.social
Assistant Professor in Computer Science, McGill University / Mila Quebec AI Institute. Co-Founder and Chair, Climate Change AI. MIT Tech Review "Innovator Under 35". he/him/his
We're excited to announce our latest rounds of Innovation Grantees! Check out funded projects here: www.climatechange.ai/press_releas... 🌱🌍 Made possible thanks to support by the Quadrature Climate Foundation, Google DeepMind, Global Methane Hub & @futureearth.bsky.social.
Going to #NeurIPS2025 San Diego? Escape the conference for a couple hours with a morning bird walk in the trails of Balboa Park. 7 am on Thurs, Dec. 4.
We're excited to be part of #COP30 in Brazil with @drolnick.bsky.social, @daviddao.org and Maria João Sousa! We will be part of and organizing several events, starting on Nov 10. To learn more, check our website: www.climatechange.ai/events/cop30
Congratulations to the amazing Priya Donti 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 🌍💪
Recent article! 🌳🌍 Tree semantic segmentation from aerial image time series 👉 doi.org/10.1017/eds.... ✍️ Venkatesh Ramesh @arthurouaknine.bsky.social & @drolnick.bsky.social Research that advances #forest monitoring using #deeplearning on aerial imagery time series.
Postdoc opportunity in collaboration with our lab on downscaling/superresolution for biodiversity, details here: community.climatechange.ai/c/postdoc/po...
Postdoctoral Position — Machine Learning and Downscaling to Advance Ecological Applications | Climate Change 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 a...
community.climatechange.ai
We have a new postdoc opening at Mila in machine learning for materials discovery! Details at: community.climatechange.ai/c/postdoc/po... @mila-quebec.bsky.social @alexhergar.bsky.social
Postdoc position in machine learning & materials discovery | Climate Change AI
We have a new postdoc opening at Mila in materials discovery. Details attached!
community.climatechange.ai
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/abs/2502.09356
Our paper on detecting abandoned oil wells with machine learning, led by @pratinavseth.bsky.social, 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/abs/2410.09032
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
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, preventing t...
arxiv.org
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.bsky.social
Mila members David Rolnick, Yuyan Chen and Mélisande Teng have arrived in Panama to test an algorithm to discover new species. Among a team of entomologists and computer scientists, they have installed camera traps to automatically monitor biodiversity. Stay tuned to learn more about their journey!
The call for applications has just been released for #CV4Ecology2026!! This three-week intensive program trains ecologists and conservation practitioners to develop their own AI tools for their own data. When: Jan 12-30, 2026 Where: SCBI @smconservation.bsky.social
We have a new internship opportunity in multimodal machine learning for forest monitoring using 3D point clouds. More details here: community.climatechange.ai/c/internship...
Internship at Mila in machine learning on 3D point clouds for forest monitoring | Climate Change AI
See attachment for details!
community.climatechange.ai
To assist in that upskilling, and to foster a community in which those impacted can help each other build AI skills, the CV4Ecology program is organizing a two-week remote workshop in May of 2025 that will teach AI methods to former US public sector conservation scientists.
I'm organizing a "Data for Good Rapid Response Team", i.e. a set of people who can be mobilized to work on short data science projects to help various groups and organizations. Sign up here if this is of interest to you, and please share with others with data science skills.
Data-for-good rapid response team
I'm collecting people with data science skills who may want to hear about sporadic opportunities to use their skills for good on short projects. Project themes will center on topics I am connected wit...
docs.google.com
AI could revolutionize biodiversity conservation 🌱 A team of McGill researchers found untapped potential to accelerate species discovery, track ecosystems & help meet global conservation targets. Read more: mcgill.ca/x/iwo
A new study from McGill University researchers, including Mila members Laura J. Pollock and @drolnick.bsky.social, shows that AI can accelerate species discovery, improve ecosystem tracking and help meet global conservation targets.
AI could revolutionize biodiversity conservation 🌱 A team of McGill researchers found untapped potential to accelerate species discovery, track ecosystems & help meet global conservation targets. Read more: mcgill.ca/x/iwo
A friend included this anti-acknowledgement section on her PhD thesis. She also added the proposition: “Systematic bullying and undermining of girls and women in STEM starts early on and is the reason why they do not stay in science and related fields.” Absurd we still need to go through this 🧪👩🔬
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. www.cambridge.org/core/journal...
I'm honored to have been selected as one of this year's Sloan Research Fellows. Thank you to the @sloanfoundation.bsky.social and to all the incredible students, engineers, citizen scientists, and other collaborators that make our research possible!
Curious about what this picture has to do with current AI trends? Check out my talk at AI, Science, and Society (Paris AI Action Summit). www.youtube.com/live/6HDjVnc...
Looking forward to speaking this Tuesday at the Sustainable AI Forum as part of the Paris AI Action Summit. Livestream available here (in English): www.youtube.com/live/1e3hojU...
Forum dédié à l’IA durable, à l’Hôtel de Roquelaure
YouTube video by Ministères Écologie Territoires
youtube.com
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 donna.vakalis@mila.quebec with [intern!] in the subject line.
We're excited to announce the next edition of our workshop "Tackling Climate Change with Machine Learning" at #ICLR2025 in Singapore! ▶️ Mentorship program deadline: Dec 27, 2024 ▶️ Paper submission deadline: Jan 31, 2025 Learn more & submit: climatechange.ai/events/iclr2...
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 & Bistra Dilkina. Stream the whole workshop live & for free via our website: www.climatechange.ai/events/neuri...
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. www.schmidtsciences.org/schmidt-scie...
Schmidt Sciences to Award $12 Million to Advance Research on Beneficial AI
AI2050 fellowships recognize scholars working to create AI for a better world
schmidtsciences.org
New paper! We've just published a manuscript covering technical details of the AI models behind Wildlife Insights, with systematic analysis at scale of cropping vs not cropping in #CameraTrap image classifiers 🫎🦌🦒🦘🪿🫏🐘🐫🦬🦛🐿️ ietresearch.onlinelibrary.wiley.com/doi/10.1049/...
To crop or not to crop: Comparing whole‐image and cropped classification on a large dataset of camera trap images
In this work, the authors assess the hypothesis that classifying animals cropped from camera trap images using a species-agnostic detector yields better accuracy than classifying whole images. We fin....
ietresearch.onlinelibrary.wiley.com
Congrats to @aduvalinho.bsky.social, @vict0rsch.bsky.social and the Entalpic team!
📢 Entalpic is a @mila-quebec.bsky.social startup ! After spending some fantastic research years in the lab of @drolnick.bsky.social and @yoshuabengio.bsky.social -- with my cofounder @vict0rsch.bsky.social -- we are happy to preserve that link ! 🤩
ICLR reviewer: Thanks, you've addressed all my concerns and the paper's great! Same ICLR reviewer: I'm still going to keep my score at Borderline Accept.
Thanks to Découverte / Radio-Canada for featuring our work on AI for insects, with the Montreal Insectarium and Automated Monitoring of Insects consortium! ici.radio-canada.ca/tele/decouve...
Un algorithme au secours des insectes | Découverte
Les populations d'insectes s'effondrent à un rythme sans précédent, et il manque de scientifiques pour documenter ce déclin.
ici.radio-canada.ca