The Berkeley AI + Climate Change Reading Group meets every two weeks to discuss research/applications of AI to climate change. The central goal of this group is to learn about real-world, impactful ways that machine learning can be used to address climate change.
Subscribe to our mailing list for reading group announcements or join our slack channel:
Subscribe to Meeting Announcements Join Our Slack ChannelWe meet every two weeks on Tuesday at 5pm PST in the Zoom room http://XYZ.zoom.us/my/coloradoreed where XYZ is replaced with berkeley.
Format: Each meeting begins with 10 minutes of introductions (possible break out groups), followed by a 40 minute presentation, and then 10 minute discussion (possibly in break out groups).
Subscribe to Google Calendar| Date | Title | Speaker |
|---|---|---|
| May 3, 2022 (5pm PST) |
Berkeley AI Research Climate Initiative (recording, slides) | Colorado Reed and Ritwik Gupta |
| April 19, 2022 (5pm PST) |
No meeting | |
| April 5, 2022 (5pm PST) |
Happy hour chat! | Everyone =) |
| March 22, 2022 (5pm PST) |
Mapping industrial poultry operations at scale with deep learning and aerial imagery | Caleb Robinson |
| March 8, 2022 (5pm PST) |
TorchGeo: deep learning with geospatial data (recording, code) | Adam J. Stewart |
| Feb 22, 2022 (5pm PST) |
Using Temporal Deep Learning Models for Daily Snow Water Equivalent Estimation in Western U.S. (recording) | Shiheng Duan |
| Feb 8, 2022 (5pm PST) |
Meeting cancelled :( | |
| Jan 25, 2022 (5pm PST) |
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models (paper) | Salva Rühling Cachay |
| Dec 14, 2021 (5pm PST) |
Deep Reinforcement Learning for Conservation Decisions (paper) | Marcus Lapeyrolerie |
| Nov 30, 2021 (5pm PST) |
MOSAIKS: A generalizable and accessible approach to machine learning with global satellite imagery (slides, publication) |
Esther Rolf |
| Nov 16, 2021 (5pm PST) |
No Meeting (CVPR deadline) | |
| Nov 2, 2021 (5pm PST) |
Challenges in deep learning: Applications to real-world ecological datasets |
Zhongqi Miao |
| Oct 19, 2021 (5pm PST) |
Skilful precipitation nowcasting using deep generative models of radar (DeepMind, 2021, Nature) |
Colorado Reed |
| Oct 5, 2021 (5pm PST) |
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification |
Medhini Narasimhan |
| Sep 21, 2021 (5pm PST) |
xView3 Challenge Discussion (video) |
Ritwik Gupta |
| July 13, 2021 (5pm PST) |
Controllable Generation of Organic Molecules with Transformers (slides) |
Daniel Rothchild |
| June 29, 2021 (5pm PST) |
Computer Vision for Global-Scale Biodiversity Monitoring - Scaling Geospatial and Taxonomic Coverage Using Contextual Clues (slides) |
Sara Beery |
| June 15, 2021 (5pm PST) |
Three climate science research topics that likely require machine-learning for further advancement. (slides) |
Daniel Feldman |
| June 1, 2021 (5pm PST) |
Probabilistic Detection of Atmospheric Rivers Across Climate Datasets and Resolutions with Neural Networks | Ankur Mahesh |
| May 18, 2021 (5pm PST) |
MetNet: A Neural Weather Model for Precipitation Forecasting paper (slides) |
Medhini Narasimhan |
| May 4, 2021 (5pm PST) |
Tackling Climate Change with Machine Learning paper Bonus: Towards a Collective Agenda on AI for Earth Science Data Analysis paper (slides) |
Colorado Reed |
Here's is a small, but powerful, collection of quality meta-resources for AI + Climate Change: