CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41 DEEPCLIMGAN: A HIGH-RESOLUTION CLIMATE DATA GENERATOR DeepClimGAN: A High-Resolution Climate Data Generator Alexandra Puchko1 Robert Link2 Brian Hutchinson1 3 Ben Kravitz4 Abigail Snyder2 1. Introduction Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning TACKLING CLIMATE CHANGE WITH MACHINE LEARNING CLIMATE CHANGE: HOW CAN AI HELP?

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CLIMATE CHANGE AI

Climate change is expected to aggravate extreme precipitation events, directly impacting the livelihood of millions. Without a global precipitation forecasting system in place, many regions -- especially those constrained in resources to collect expensive groundstation data -- are left behind. To mitigate such unequal reach of climate change,

a

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41 DEEPCLIMGAN: A HIGH-RESOLUTION CLIMATE DATA GENERATOR DeepClimGAN: A High-Resolution Climate Data Generator Alexandra Puchko1 Robert Link2 Brian Hutchinson1 3 Ben Kravitz4 Abigail Snyder2 1. Introduction Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning TACKLING CLIMATE CHANGE WITH MACHINE LEARNING CLIMATE CHANGE: HOW CAN AI HELP?

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CLIMATE CHANGE AI

Climate change is expected to aggravate extreme precipitation events, directly impacting the livelihood of millions. Without a global precipitation forecasting system in place, many regions -- especially those constrained in resources to collect expensive groundstation data -- are left behind. To mitigate such unequal reach of climate change,

a

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate.

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a CLIMATE CHANGE: HOW CAN AI HELP? Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change.

CLIMATE CHANGE AI

Abstract. Arid and semi-arid regions (ASALs) in developing countries are heavily affected by the effects of global warming and climate change, leading to adverse climatic conditions such as drought and flooding. This paper explores the problem of fresh-water access in northern Kenya and measures being taken to safeguard water access

despite

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change.Climate change is a complex problem, for which action takes many forms TOWARDS TRACKING THE EMISSIONS OF EVERY POWER PLANT ON THE Towards Tracking the Emissions of Every Power Plant on the Planet Heather D. Couture 1;5, Joseph O’Connor 2, Grace Mitchell , Isabella Söldner-Rembold , Durand D’souza3, Krishna Karra 1, Keto D. Zhang , Ali Rouzbeh Kargar 1, Thomas Kassel , Brian W. Goldman 4, Daniel Tyrrell , Wanda Czerwinski , Alok Talekar4, Colin McCormick1;6 1WattTime, 2Energy & Clean Air Analytics, 3Carbon Tracker,

CLIMATE CHANGE AI

Abstract. High-resolution nowcasting is an essential tool needed for effective adaptation to climate change, particularly for extreme weather. As Deep Learning (DL) techniques have shown dramatic promise in many domains, including the geosciences, we present an application of DL to the problem of precipitation nowcasting, i.e., high-resolution (1 km x 1 km) short-term (1 hour) predictions of TARGETING BUILDINGS FOR ENERGY RETROFIT USING RECURRENT Appendix The synthetic dataset used for regression over R was generated using the Building Energy Simulation, Optimization and Surrogate Modelling (BESOS) platform5 and

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate.

CLIMATE CHANGE AI

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate.

CLIMATE CHANGE AI

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate.

CLIMATE CHANGE AI

Resources. This page presents some readings, datasets, and tools for the areas outlined in our paper, “Tackling Climate Change with Machine Learning.” These resources include general references about climate change, as well as resources organized by section of the

paper.

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a TACKLING CLIMATE CHANGE WITH MACHINE LEARNING NeurIPS 2020 Workshop. Tackling Climate Change with Machine Learning. This workshop is focused on impactful uses of machine learning in reducing and responding to climate change, and is intended to be a venue for discourse between experts in machine learning and other fields. Recordings are

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

CLIMATE CHANGE: HOW CAN AI HELP? Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. MAPPING LAND USE AND LAND COVER CHANGES FASTER AND AT Mapping land use and land cover changes faster and at scale with deep learning on the cloud Zhuang-Fang Yi 1, Drew Bollinger 1, DevisPeressutti2 1.Development Seed TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change.Climate change is a complex problem, for which action takes many forms COUNTING COWS: TRACKING ILLEGAL CATTLE RANCHING FROM HIGH Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery Issam Laradji1,2,5, Pau Rodriguez 2, Freddie Kalaitzis3, David Vazquez , Ross Young2, Ed Davey4, and Alexandre Lacoste2 1issam.laradji@gmail.com, 2Element AI, 3Oxford / FDL, 4Global Witness, 5McGill University Abstract Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide.

CLIMATE CHANGE AI

Climate Change AI Catalyzing impactful work at the intersection of climate change and machine learning News and events

CLIMATE CHANGE AI

About Climate Change AI. Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role.

CLIMATE CHANGE AI

Tackling Climate Change with Machine Learning. Interactive Summary. Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING

CLIMATE CHANGE AI

Abstract. Climate change is expected to aggravate extreme precipitation events, directly impacting the livelihood of millions. Without a global precipitation forecasting system in place, many regions -- especially those constrained in resources to collect expensive groundstation data -- are left behind. CLIMATE CHANGE: HOW CAN AI HELP? DEEP LEARNING FOR CLIMATE MODEL OUTPUT STATISTICS Deep Learning for Climate Model Output Statistics Michael Steininger1, Daniel Abel 2, Katrin Ziegler , Anna Krause1, Heiko Paeth2, and Andreas Hotho1 1Chair of Computer Science X (Data Science), University of Würzburg {steininger, anna.krause, hotho}@informatik.uni-wuerzburg.de IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41 COUNTING COWS: TRACKING ILLEGAL CATTLE RANCHING FROM HIGH Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery Issam Laradji1,2,5, Pau Rodriguez 2, Freddie Kalaitzis3, David Vazquez , Ross Young2, Ed Davey4, and Alexandre Lacoste2 1issam.laradji@gmail.com, 2Element AI, 3Oxford / FDL, 4Global Witness, 5McGill University Abstract Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide. DEEPCLIMGAN: A HIGH-RESOLUTION CLIMATE DATA GENERATOR DeepClimGAN: A High-Resolution Climate Data Generator Alexandra Puchko1 Robert Link2 Brian Hutchinson1 3 Ben Kravitz4 Abigail Snyder2 1. Introduction Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are

CLIMATE CHANGE AI

Climate Change AI Catalyzing impactful work at the intersection of climate change and machine learning News and events

CLIMATE CHANGE AI

About Climate Change AI. Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role.

CLIMATE CHANGE AI

Tackling Climate Change with Machine Learning. Interactive Summary. Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING

CLIMATE CHANGE AI

Abstract. Climate change is expected to aggravate extreme precipitation events, directly impacting the livelihood of millions. Without a global precipitation forecasting system in place, many regions -- especially those constrained in resources to collect expensive groundstation data -- are left behind. CLIMATE CHANGE: HOW CAN AI HELP? DEEP LEARNING FOR CLIMATE MODEL OUTPUT STATISTICS Deep Learning for Climate Model Output Statistics Michael Steininger1, Daniel Abel 2, Katrin Ziegler , Anna Krause1, Heiko Paeth2, and Andreas Hotho1 1Chair of Computer Science X (Data Science), University of Würzburg {steininger, anna.krause, hotho}@informatik.uni-wuerzburg.de IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41 COUNTING COWS: TRACKING ILLEGAL CATTLE RANCHING FROM HIGH Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery Issam Laradji1,2,5, Pau Rodriguez 2, Freddie Kalaitzis3, David Vazquez , Ross Young2, Ed Davey4, and Alexandre Lacoste2 1issam.laradji@gmail.com, 2Element AI, 3Oxford / FDL, 4Global Witness, 5McGill University Abstract Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide. DEEPCLIMGAN: A HIGH-RESOLUTION CLIMATE DATA GENERATOR DeepClimGAN: A High-Resolution Climate Data Generator Alexandra Puchko1 Robert Link2 Brian Hutchinson1 3 Ben Kravitz4 Abigail Snyder2 1. Introduction Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are

CLIMATE CHANGE AI

About Climate Change AI. Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role.

CLIMATE CHANGE AI

Tackling Climate Change with Machine Learning. Interactive Summary. Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help.

CLIMATE CHANGE AI

Resources. This page presents some readings, datasets, and tools for the areas outlined in our paper, “Tackling Climate Change with Machine Learning.” These resources include general references about climate change, as well as resources organized by section of the

paper.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a

CLIMATE CHANGE AI

If the sign-up form isn't appearing above this message, you can also sign up here.. Archive. See our archive of past newsletters.. Contact us at: info@climatechange.aiinfo@climatechange.ai

CLIMATE CHANGE AI

Frequently Asked Questions I want to learn more about climate change and machine learning. Where can I start? We encourage you to check out our paper, which provides a detailed guide of ways machine learning can be used to tackle climate change, as well as the accompanying resources and tutorials on our website. We also encourage you to explore routes such as setting up a reading group at your CLIMATE CHANGE: HOW CAN AI HELP? Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in TACKLING CLIMATE CHANGE WITH MACHINE LEARNING COP25 Side Event Artificial Intelligence: Applications in Climate Mitigation and Adaptation. Wednesday 4 December, 2019, 15:30-17:00 -

Chile Pavilion

CLIMATE CHANGE AI

Abstract. High-resolution nowcasting is an essential tool needed for effective adaptation to climate change, particularly for extreme weather. As Deep Learning (DL) techniques have shown dramatic promise in many domains, including the geosciences, we present an application of DL to the problem of precipitation nowcasting, i.e., high-resolution (1 km x 1 km) short-term (1 hour) predictions of DETECTING AVALANCHE DEPOSITS USING VARIATIONAL AUTOENCODER event classifier. For every SAR acquisition date, we built a label map where we labeled a corridor positive if an avalanche was seen between the last acquisition and the current date (6-day window) and

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING TACKLING CLIMATE CHANGE WITH MACHINE LEARNING CLIMATE CHANGE: HOW CAN AI HELP? DEEP LEARNING FOR CLIMATE MODEL OUTPUT STATISTICS Deep Learning for Climate Model Output Statistics Michael Steininger1, Daniel Abel 2, Katrin Ziegler , Anna Krause1, Heiko Paeth2, and Andreas Hotho1 1Chair of Computer Science X (Data Science), University of Würzburg {steininger, anna.krause, hotho}@informatik.uni-wuerzburg.de IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41 COUNTING COWS: TRACKING ILLEGAL CATTLE RANCHING FROM HIGH Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery Issam Laradji1,2,5, Pau Rodriguez 2, Freddie Kalaitzis3, David Vazquez , Ross Young2, Ed Davey4, and Alexandre Lacoste2 1issam.laradji@gmail.com, 2Element AI, 3Oxford / FDL, 4Global Witness, 5McGill University Abstract Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide. DEEPCLIMGAN: A HIGH-RESOLUTION CLIMATE DATA GENERATOR DeepClimGAN: A High-Resolution Climate Data Generator Alexandra Puchko1 Robert Link2 Brian Hutchinson1 3 Ben Kravitz4 Abigail Snyder2 1. Introduction Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING TACKLING CLIMATE CHANGE WITH MACHINE LEARNING CLIMATE CHANGE: HOW CAN AI HELP? DEEP LEARNING FOR CLIMATE MODEL OUTPUT STATISTICS Deep Learning for Climate Model Output Statistics Michael Steininger1, Daniel Abel 2, Katrin Ziegler , Anna Krause1, Heiko Paeth2, and Andreas Hotho1 1Chair of Computer Science X (Data Science), University of Würzburg {steininger, anna.krause, hotho}@informatik.uni-wuerzburg.de IN-N-OUT: PRE-TRAINING AND SELF-TRAINING USING AUX- ILIARY CelebA Cropland Landcover ID Acc OOD Acc ID Acc OOD Acc ID Acc OOD Acc Baseline 90.460.85 72.641.39 94.500.11 90.300.75 75.920.25 58.311.87 Aux-inputs 92.360.29 77.41 COUNTING COWS: TRACKING ILLEGAL CATTLE RANCHING FROM HIGH Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery Issam Laradji1,2,5, Pau Rodriguez 2, Freddie Kalaitzis3, David Vazquez , Ross Young2, Ed Davey4, and Alexandre Lacoste2 1issam.laradji@gmail.com, 2Element AI, 3Oxford / FDL, 4Global Witness, 5McGill University Abstract Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide. DEEPCLIMGAN: A HIGH-RESOLUTION CLIMATE DATA GENERATOR DeepClimGAN: A High-Resolution Climate Data Generator Alexandra Puchko1 Robert Link2 Brian Hutchinson1 3 Ben Kravitz4 Abigail Snyder2 1. Introduction Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate.

CLIMATE CHANGE AI

Resources. This page presents some readings, datasets, and tools for the areas outlined in our paper, “Tackling Climate Change with Machine Learning.”. These resources include general references about climate change, as well as resources organized by section of the paper. If you find that we are missing some important resources,

please

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING NeurIPS 2020 Workshop. Tackling Climate Change with Machine Learning. This workshop is focused on impactful uses of machine learning in reducing and responding to climate change, and is intended to be a venue for discourse between experts in machine learning and other fields. Recordings are

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

CLIMATE CHANGE: HOW CAN AI HELP? Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING COP25 Side Event Artificial Intelligence: Applications in Climate Mitigation and Adaptation. Wednesday 4 December, 2019, 15:30-17:00 -

Chile Pavilion

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

RAINBENCH: ENABLING DATA-DRIVEN PRECIPITATION FORECASTING network for precipitation nowcasting. Most recently, Sønderby et al. from Google proposed a “(weather)-model-free" approach, MetNet, which forecasts precipitation in continental USA using CLIMATE CHANGE: HOW CAN AI HELP?

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

RAINBENCH: ENABLING DATA-DRIVEN PRECIPITATION FORECASTING network for precipitation nowcasting. Most recently, Sønderby et al. from Google proposed a “(weather)-model-free" approach, MetNet, which forecasts precipitation in continental USA using CLIMATE CHANGE: HOW CAN AI HELP?

CLIMATE CHANGE AI

Resources. This page presents some readings, datasets, and tools for the areas outlined in our paper, “Tackling Climate Change with Machine Learning.”. These resources include general references about climate change, as well as resources organized by section of the paper. If you find that we are missing some important resources,

please

CLIMATE CHANGE AI

Tutorials. Check out our tutorials on climate change and machine learning below!. Climate Change 101

CLIMATE CHANGE AI

Climate Change AI Events. Our events provide opportunities to share work at the intersection of climate change and machine learning, to meet others who care about making a difference in this area, and to build teams across sectors to solve important problems. CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING This workshop highlights work that demonstrates that, while no silver bullet, ML can be an invaluable tool in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. Climate change is a complex problem, for which action takes many forms - from theoretical advances to deployment of new

technology.

CLIMATE CHANGE: HOW CAN AI HELP? Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING COP25 Side Event Artificial Intelligence: Applications in Climate Mitigation and Adaptation. Wednesday 4 December, 2019, 15:30-17:00 -

Chile Pavilion

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

RAINBENCH: ENABLING DATA-DRIVEN PRECIPITATION FORECASTING network for precipitation nowcasting. Most recently, Sønderby et al. from Google proposed a “(weather)-model-free" approach, MetNet, which forecasts precipitation in continental USA using CLIMATE CHANGE: HOW CAN AI HELP?

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

RAINBENCH: ENABLING DATA-DRIVEN PRECIPITATION FORECASTING network for precipitation nowcasting. Most recently, Sønderby et al. from Google proposed a “(weather)-model-free" approach, MetNet, which forecasts precipitation in continental USA using CLIMATE CHANGE: HOW CAN AI HELP?

CLIMATE CHANGE AI

Resources. This page presents some readings, datasets, and tools for the areas outlined in our paper, “Tackling Climate Change with Machine Learning.”. These resources include general references about climate change, as well as resources organized by section of the paper. If you find that we are missing some important resources,

please

CLIMATE CHANGE AI

Tutorials. Check out our tutorials on climate change and machine learning below!. Climate Change 101

CLIMATE CHANGE AI

Climate Change AI Events. Our events provide opportunities to share work at the intersection of climate change and machine learning, to meet others who care about making a difference in this area, and to build teams across sectors to solve important problems. CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING This workshop highlights work that demonstrates that, while no silver bullet, ML can be an invaluable tool in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. Climate change is a complex problem, for which action takes many forms - from theoretical advances to deployment of new

technology.

CLIMATE CHANGE: HOW CAN AI HELP? Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING COP25 Side Event Artificial Intelligence: Applications in Climate Mitigation and Adaptation. Wednesday 4 December, 2019, 15:30-17:00 -

Chile Pavilion

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

View interactive summaries of our climate + ML paper. Watch tutorials on climate change or machine learning. Contribute to our wishlist of critical datasets. Browse papers and talks from NeurIPS 2020. Join the conversation on our discussion forum.

CLIMATE CHANGE AI

Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning

CLIMATE CHANGE AI

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. In our paper “Tackling Climate Change with Machine Learning,” we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

01/07/2020 - Climate Change AI newsletter - January 7, 2020. 11/18/2019 - Climate Change AI newsletter - November 18, 2019. 10/09/2019 - Climate Change AI newsletter - October 9, 2019. 08/28/2019 - Climate Change AI newsletter - August 28, 2019. 07/31/2019 - Climate Change AI mailing list - welcome and NeurIPS

workshop.

CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

RAINBENCH: ENABLING DATA-DRIVEN PRECIPITATION FORECASTING network for precipitation nowcasting. Most recently, Sønderby et al. from Google proposed a “(weather)-model-free" approach, MetNet, which forecasts precipitation in continental USA using CLIMATE CHANGE: HOW CAN AI HELP?

CLIMATE CHANGE AI

Resources. This page presents some readings, datasets, and tools for the areas outlined in our paper, “Tackling Climate Change with Machine Learning.”. These resources include general references about climate change, as well as resources organized by section of the paper. If you find that we are missing some important resources,

please

CLIMATE CHANGE AI

Tutorials. Check out our tutorials on climate change and machine learning below!. Climate Change 101

CLIMATE CHANGE AI

Climate Change AI Events. Our events provide opportunities to share work at the intersection of climate change and machine learning, to meet others who care about making a difference in this area, and to build teams across sectors to solve important problems. CALLS | CLIMATE CHANGE AI Calls Seeking Partners in Africa to Build an Innovation Research Network on AI for Climate Action. We are pleased to announce a call (EN, FR) for expressions of interest to develop a $1M research hub in Africa focusing on artificial intelligence for climate action.The new grant initiative—part of the four-year Artificial Intelligence for Development in Africa (AI4D Africa) program—is a TACKLING CLIMATE CHANGE WITH MACHINE LEARNING Webinars - Climate Change AI. About Mission People Press Community

Guidelines

CLIMATE CHANGE AI

We believe AI can play a useful role in many climate change strategies (as detailed in our paper ), and that it is important for AI and machine learning experts to join the global effort against climate change. That said, AI is only one piece of the puzzle; policy and technical approaches other than AI will also be critical to tackling

climate

CLIMATE CHANGE AI

This community guidelines policy was written by adapting the wording and structure from other policies and codes of conduct, first and foremost by WiML but also by Geek Feminism Wiki, NeurIPS, ACM, Montreal AI Symposium, Deep Learning Indaba, and CodePath. ¹ For CCAI core team members, please contact one of the ombudspeople, Lauren or

Andrew.

TACKLING CLIMATE CHANGE WITH MACHINE LEARNING This workshop highlights work that demonstrates that, while no silver bullet, ML can be an invaluable tool in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. Climate change is a complex problem, for which action takes many forms - from theoretical advances to deployment of new

technology.

CLIMATE CHANGE: HOW CAN AI HELP? Many in the ML community wish to take action on climate change, yet feel their skills are inapplicable. This workshop aims to show that in fact the opposite is true: while no silver bullet, ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. TACKLING CLIMATE CHANGE WITH MACHINE LEARNING COP25 Side Event Artificial Intelligence: Applications in Climate Mitigation and Adaptation. Wednesday 4 December, 2019, 15:30-17:00 -

Chile Pavilion

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Attend a CCAI virtual happy hour (held fortnightly) Check out the CCAI community events calendar CCAI Chairs speak at Heinrich Böll Foundation David Rolnick featured on ASP Flashpoint Attend our webinar on June 18: "Spatial planning of low-carbon cities with machine learning" Submit to our ICML 2021 workshop! Informational webinars Apr 23, 27 Attend a CCAI virtual happy hour (held fortnightly) Check out the CCAI community events calendar CCAI Chairs speak at Heinrich Böll Foundation David Rolnick featured on ASP Flashpoint Attend our webinar on June 18: "Spatial planning of low-carbon cities with machine learning" Submit to our ICML 2021 workshop! Informational webinars Apr 23, 27 Attend a CCAI virtual happy hour (held fortnightly) Check out the CCAI community events calendar CCAI Chairs speak at Heinrich Böll Foundation David Rolnick featured on ASP Flashpoint Next

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Watch tutorials on climate change or machine learning Contribute to our wishlist of critical datasets Browse papers and talks from NeurIPS 2020 Join the conversation on our discussion forum View our recent webinar: "Coastal Adaptation to Sea Level Rise" View interactive summaries of our climate + ML paper Watch tutorials on climate change or machine learning Contribute to our wishlist of critical datasets Browse papers and talks from NeurIPS 2020 Join the conversation on our discussion forum View our recent webinar: "Coastal Adaptation to Sea Level Rise" View interactive summaries of our climate + ML paper Watch tutorials on climate change or machine learning Contribute to our wishlist of critical datasets Browse papers and talks from NeurIPS 2020 Join the conversation on our discussion forum Next SIGN UP FOR OUR NEWSLETTER

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