Collaborating Authors

Energy Policy

Microsoft Wants to Use its Tech to Fight Climate Change


In December 2017, two years after the Paris climate accord was adopted, French President Emmanuel Macron led government, business and civic leaders in a conference called The One Planet Summit. President Trump, who earlier in the year announced his commitment to withdraw the U.S. from the historic climate accord, was not invited. At this event, Microsoft's President and Chief Legal Officer Brad Smith announced the company would be committing $50 million over the following five years as part of a new strategy to provide access to artificial intelligence (AI) for groups and people who want to use it for the good for the planet. Microsoft's AI for Earth, a program with the goal of using AI to address environmental challenges, launched six months before this announcement.

Microsoft pledges $50 million to broaden AI for Earth programme


Announcing its plan to broaden the AI for Earth programme, Microsoft has pledged $50 million over the next five years to put artificial intelligence technology in the hands of those who are working to mitigate climate change. Microsoft rolled out the AI for Earth programme six months ago with an aim to put the power of artificial intelligence towards tackling environmental challenges. "At Microsoft, we believe artificial intelligence is a game changer. Our approach as a company is focused on democratising AI so its features and capabilities can be put to use by individuals and organisations around the world to improve real-world outcomes," Microsoft President and Chief Legal Officer Brad Smith wrote in a blog post on Monday. The announcement came on the eve of the second anniversary of the Paris Agreement.

11 Indian IoT Startups To Watch Out For In 2018 [Startup Watchlist]


This article is part of Inc42's Startup Watchlist annual series where we list the top startups to watch for 2018 from industries like AI, IoT, Blockchain etc. Explore all the stories from'Startup Watchlist' series here.

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events

Neural Information Processing Systems

Then detection and identification of extreme weather events in large-scale climate simulations is an important problem for risk management, informing governmental policy decisions and advancing our basic understanding of the climate system. Recent work has shown that fully supervised convolutional neural networks (CNNs) can yield acceptable accuracy for classifying well-known types of extreme weather events when large amounts of labeled data are available. However, many different types of spatially localized climate patterns are of interest including hurricanes, extra-tropical cyclones, weather fronts, and blocking events among others. Existing labeled data for these patterns can be incomplete in various ways, such as covering only certain years or geographic areas and having false negatives. This type of climate data therefore poses a number of interesting machine learning challenges. We present a multichannel spatiotemporal CNN architecture for semi-supervised bounding box prediction and exploratory data analysis. We demonstrate that our approach is able to leverage temporal information and unlabeled data to improve the localization of extreme weather events. Further, we explore the representations learned by our model in order to better understand this important data. We present a dataset, ExtremeWeather, to encourage machine learning research in this area and to help facilitate further work in understanding and mitigating the effects of climate change. The dataset is available at and the code is available at

Microsoft is using AI to help farmers fight climate change. Will it be enough?


Microsoft is tasking AI app developers with creating a weather monitoring AI to assist farmers with managing water and other resources.

Microsoft Wants to Pit b AI /b Against Climate Change


"Our approach as a company is focused on democratizing AI so its features and capabilities can be put to use by individuals and organizations around the world to improve real-world outcomes.

Microsoft commits $50 million to apply b AI /b to the problem of global climate change


"AI can be trained to classify raw data from sensors on the ground, in the sky or in space into categories that both humans and computers understand.

Should Scientists Publish Their Personal Biases? - Facts So Romantic


A lot of modern science challenges us to change our behaviors. Results related to climate change, for example, suggest we travel, shop, and eat differently. Psychology and sociology ask us to shift our perceptions of each other.