🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Le projet Antenna, dirigé par le lab de recherche de David Rolnick en collaboration avec l’Insectarium de Montréal, utilise l’IA pour automatiser la surveillance des insectes à l’échelle mondiale. Visionner le reportage de Radio-Canada. ow.ly/6W4B50U8ekX Espace pour la vie

Explore the intersection of Climate Change and AI with Dr. David Rolnick, McGill University & Mila expert, at our virtual convening on 25 November 2024. Register now: digitalindia-gov-in.zoom.us/webinar/regist… Ministry of Electronics & IT abhishek singh Digital India David Rolnick #GPAI #AIForClimate

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.

Congrats to Alexandre Duval, Victor Schmidt 💀🐔 and the Entalpic team!

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.

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)!

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/iclr2025

Congratulations to Sara Beery and David Rolnick for being selected as 2024 AI2050 Early Career Fellows! The ABC team is beyond excited to see all that you accomplish! Read more here: schmidtsciences.org/schmidt-scienc…

We are excited to announce that we are receiving, virtually, to David Rolnick! He will deliver inspiring ideas about tackling climate change, the greatest challenge of our time, using machine learning. It will happen on Tuesday, January 14, at 5:00 pm (CST). Join us!

Internship in our group at Mila - Institut québécois d'IA 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)

📢 The deadline for paper submissions to the Machine Learning for Remote Sensing workshop at #ICLR2025 has been extended to February 10!

The AI Action summit in Paris is happening this week! CCAI will be represented by Lynn Kaack, Sasha Luccioni, PhD 🦋🌎✨🤗 and David Rolnick. Learn more about the event here: aiconference.ip-paris.fr

Looking forward to speaking this Tuesday at the Sustainable AI Forum as part of the Paris AI Action Summit. Livestream available here (in English): youtube.com/live/1e3hojUNp… Merci aux Ministères Territoires Écologie pour l'invitátion.

Announcing our new paper (led by Arthur Ouaknine) compiling data on AI for forests, a fast-growing area important for land management, biodiversity preservation, and nature-based climate solutions.

A new study from McGill University researchers, including Mila members Laura J. Pollock and David Rolnick, shows that AI can accelerate species discovery, improve ecosystem tracking and help meet global conservation targets.

To assist in that upskilling, and to foster a community in which those impacted can help each other build AI skills, the CV4Ecology Workshop program is organizing a two-week remote workshop in May of 2025 that will teach AI methods to former US public sector conservation scientists.

We have a new internship opportunity Mila - Institut québécois d'IA in multimodal machine learning for forest monitoring using 3D point clouds. More details here: community.climatechange.ai/c/internships/…

Bichodatos y su tropa de bichodateros listos para una nueva expedición entomológica en Panamá, esta vez al bosque nebular del Monte Totumas. ¿Qué joyas entomologicas nos esperan? Maxim Larrivée (il/lui/he/him) David Rolnick Eduardo Navarro-Valencia @enavarro.bsky.social Espace pour la vie

Our paper on detecting abandoned oil wells with machine learning, led by Pratinav Seth, 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

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