BAIR Climate Initiative Group Meeting

The Berkeley AI Research Climate Initiative 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.

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Upcoming Meetings

We meet every two weeks on Tuesday at 5pm PST at 8013 (8th floor) of Berkeley Way West. Remote support at https://zoom.us/j/7686515998.

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Previous speakers

Date Title Speaker
Aug 9th, 2022
(3pm PST)
Equivariant Deep Learning on Atoms. (in person, BWW room 8013) Albert Musaelian
July-August, 2022 Summer Hiatus (will resume in September)
June 28, 2022
(4:30pm PST)
BCI Launch Event (recording) BCI Team
June 14, 2022
(5pm PST)
Visual Domain Adaptation Challenge Piotr Teterwak
May 31, 2022
(5pm PST)
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision (paper) Sherrie Wang
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

Resources

Here's is a small, but powerful, collection of quality meta-resources for AI + Climate Change:

  • Google drive collection of papers on AI + climate change provided by Ankur Mahesh.
  • Climate Change AI - a great monthly newsletter, twitter account, and fortnightly happy hours.
  • Weather and Climate Datasets - a growing collection of datasets relevant for AI + Climate Change research.

FAQ

Do I need to be at UC Berkeley to join?
Nope. But our invited presenters, discussions, and collaboration opportunities will likely focus on UC Berkeley.
Can I present?
Yes! Contact Colorado Reed (cjrd at berkeley dot edu) with your proposed presentation topic.
Who organizes this group?
Colorado Reed, Medhini Narasimhan, and Ritwik Gupta.