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!

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...

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

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

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...

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.

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.

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...

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.

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)!

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...

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/...

Congrats to @aduvalinho.bsky.social, @vict0rsch.bsky.social and the Entalpic team!

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...

We are looking for new PhD / MSc students! Machine learning innovations for tackling climate change - e.g. remote sensing, climate informatics, materials discovery, & biodiversity monitoring. Apply by submitting applications to *both* Mila Quebec AI Institute (by Dec 1) & McGill University (Dec 15)