Yesterday I was able to attend the AI LA Earth Summit, a day of talks and chats about how data and machine learning applications can be applied to the Climate space. There were a few unintended themes: 📊You can only manage what you measure - About half the speakers addressed some kind of major gaps in our understanding. Anupa Asokan in particular highlighted just how little we know about our oceans, even just basic maps. Companies like Joshua Fisher's Hydrosat and the nonprofit Carbon Mapper are relying on satellites with better instruments to get more accurate pictures, for instance. 📍 Problems are big, but solutions are local - You eat a whale one bite at a time, and every climate tech company addresses a fraction of the whole. So the efforts of companies like Nextjet or Bill B.'s Evolectric - CircularEV™ Solutions add up. Central planning probably won't solve our big problems. 🔦 You don't know what you don't know, so find out. - We're walking bundles of unconscious biases, so it's paramount to bring in the voices unlike your own. If you're aiming for a global reach, you need global input. And taking a trip isn't enough - bring in people with lived experience. Cool stuff, good thinking, and I love seeing LA flexing its climate muscles.
Mike Rozycki’s Post
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Digital Twin of Earth? Yess, scientists have created a "digital twin" of Earth to predict climate change. This tool will help Europe respond to natural disasters, adapt to climate change, and guide #sustainabledevelopment. Developed by the European Commission with €315 million in funding, Destination Earth (DestinE) uses AI to simulate interactions between natural phenomena and human activities. It provides accurate data on extreme weather and climate impacts on water, food, and energy systems. DestinE includes models focusing on #climateadaptation and weather extremes. By 2030, it aims to complete a full digital replica of Earth. Powered by Europe's supercomputers, DestinE aims to be carbon-neutral, supporting the EU's goal to be the first climate-neutral continent by 2050.
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The current state of AI companies and their power consumption reminds me of the early days of search when Google had a team working exclusively on shortening response times. This work was for the user's benefit, but it also reduced power consumption by using less compute and directing queries to the closest data center. Hopefully we'll start to hear about climate heroes at AI companies that are working towards lightening the power consumption.
For PNW Climate Week, Hansi Singh, PhD participated in a packed panel event on "Artificial Intelligence: Friend or Foe for the Planet?" at the Georgetown Steam Plant CDA yesterday! The panel discussion covered the intersection of climate and AI: from the power of AI and machine learning in climate intelligence and action, to the perils of AI in driving unsustainable energy use and consumption habits. Moderated by: Jordan Bain Panelists included: Heather Redman Vikram Modgil Sailesh Chutani Jai Jaisimha #PNWClimateWeek #Planette #EnvironmentalForecasting #ClimateRiskMitigation
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What is the potential of artificial intelligence in advancing climate solutions? 🤔💭🤖🌱 The Bonn AI & Climate Expert Meeting brings you this interesting discussion, focusing on developing & least developed countries! Register to join virtually: https://lnkd.in/eV2hMRRy
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Artificial Intelligence undoubtedly helps scientists better study and track various climate change metrics, but AI also consumes a vast amount of natural resources just to operate. Learn more from Sarah Mangelsdorf.
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Earlier this month, leading AI experts converged at the University of California, Berkeley for the AI and Physical Sciences for Climate Innovation Symposium to tackle urgent climate challenges head-on. Learn more about how AI can be used to address climate change. https://lnkd.in/gZVwhuMm #ClimateAction #AIforGood
Three decades after UN milestone, experts convene to find AI climate solutions | CDSS at UC Berkeley
data.berkeley.edu
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Discover how AI is revolutionizing climate science—from monitoring Arctic ice to predicting solar patterns. Dive into the full story on our blog! #ClimateChange #AI" To read the full story, visit our blog at https://lnkd.in/gT8ZF378
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🌍 We are pleased to announce our collaboration with Cornell Tech to map and analyze the use of Urban AI for Climate Adaptation. 💡 Intelligence for Climate Adaptation is an ongoing global initiative launched in 2024. This research project is dedicated to creating a curated body of knowledge on how AI is shaping urban climate adaptation and resilience efforts. You can participate by contributing signals —articles, reports, solutions, and more — focused on urban AI trends and use cases in climate adaptation. Link in comments 👇 https://lnkd.in/e-TA-acY
Intelligence for Climate Adaptation
futureofurbanai.org
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Exciting news from Meta, World Resources Institute and Land & Carbon Lab. They have launched the first AI-powered, 1-meter resolution global map of tree canopy height, providing critical data on individual trees around the world and improving their ability to mitigate and adapt to climate change🌳🌎 The foundational model and data are made free and openly available to the public to help democratize access to artificial intelligence and drive innovative and collaborative solutions to the threats facing our planet🗺️ Read the blog to learn more: https://bit.ly/4bav33Y
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Exploring Clouds From All Angles: AI in Climate Science:
Exploring Clouds From All Angles: AI in Climate Science:
https://stuffdoor.com
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