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climate change


Why Artificial Intelligence is Critical in the Race to SDG Achievement

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Seven years have passed since world leaders met in New York and agreed on 17 Sustainable Development Goals (SDGs) to solve major challenges such as poverty, hunger, inequality, climate change and health. The pandemic has undoubtedly diverted attention from some of these issues in the last couple of years. But even before COVID-19, the UN was warning that progress in meeting the SDGs was not advancing at the speed or scale needed. Greeting them in 2030 will be difficult. The pandemic has demonstrated like nothing else the power of working collaboratively, across borders, for the benefit of society.


The Environmental Impact of AI

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Climate change has been a problem for many years. Climate change influences our health, cultivation, dwellings, security and employment. CO2 stands for carbon dioxide, which is found in the atmosphere and comes from natural sources and burning fossil fuels. They are followed by some solutions that researchers and developers can implement instantly to transform the future. AI has been the driving force for numerous sound transformations to the environment.


Neural Network Generates Global Tree Height Map, Reveals Carbon Stock Potential

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A new study from researchers at ETH Zurich's EcoVision Lab is the first to produce an interactive Global Canopy Height map. Using a newly developed deep learning algorithm that processes publicly available satellite images, the study could help scientists identify areas of ecosystem degradation and deforestation. The work could also guide sustainable forest management by identifying areas for prime carbon storage--a cornerstone in mitigating climate change. "Global high-resolution data on vegetation characteristics are needed to sustainably manage terrestrial ecosystems, mitigate climate change, and prevent biodiversity loss. With this project, we aim to fill the missing data gaps by merging data from two space missions with the help of deep learning," said Konrad Schindler, a Professor in the Department of Civil, Environmental, and Geomatic Engineering at ETH Zurich.


La veille de la cybersécurité

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Severe wildfires, raging storms and other extreme weather conditions are all indications that the climate is changing and not for the better. Earlier this month, the United Nations Intergovernmental Panel on Climate Change released its sixth report on the assessment of global climate conditions. The report looks at environments that are growing warmer, rising sea levels and species becoming extinct. The warning is clear: Something must be done to save the climate. But some have attempted to use AI to combat climate change.


Meet Sipremo: A winning start-up using AI to make cities more resilient to climate change

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One of the most pressing issues facing cities and urban spaces are the future impacts of climate change, and how to make critical decisions related to mitigation and response. This month, ITU's AI for Good Innovation Factory series kicked-off with a challenge on smart and sustainable cities. Sipremo, a Brazilian-based start-up applying artificial intelligence (AI) for smart decision making, was awarded the top prize for start-ups making our cities safe, clean and sustainable. We talked to Gabriel Savio, CEO of Sipremo, about his solution. Sipremo addresses the massive impact of climate change events on business in various industries and all of our society. In recent years, Brazil has faced some of its worst natural disasters, such as what happened in Petropolis, Minas Gerais, and others.


Council Post: How We Can Use AI To Help Achieve Sustainability Goals

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As with many of us, after three years of staying home, I realized a few months ago that I'd had it with the pandemic. Having traveled up to 70% for years before Covid-19, my initial reaction to being in the same time zone and same building and bed was pure gratitude, even bliss. I wanted to go out and experience the world again. During our last Omicron-initiated staycation over the Christmas holidays, my 14-year-old son stated in his very polished, diplomatic and convincing style that he was bored. As soon as we learned Omicron was manageable, and there would be a break from lockdowns and fewer travel restrictions, we decided to get on with it and book some memorable holidays. So came the trips to Costa Rica and the Dominican Republic.


AI's effects on climate change: Both good and bad

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Severe wildfires, raging storms and other extreme weather conditions are all indications that the climate is changing and not for the better. Earlier this month, the United Nations Intergovernmental Panel on Climate Change released its sixth report on the assessment of global climate conditions. The report looks at environments that are growing warmer, rising sea levels and species becoming extinct. The warning is clear: Something must be done to save the climate. But some have attempted to use AI to combat climate change.


Could AI help threatened marine species survive climate change?

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Changing ocean conditions could drive marine species to extinction if they can't adapt or move to more hospitable waters. Researchers say they could help--if they can accurately predict which individuals within a species will survive best, and where. Northeastern's Katie Lotterhos is working to determine whether a machine-learning algorithm could make those predictions accurately.


How Artificial Intelligence Can Power Climate Change Strategy

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Slowing down climate change is an urgent matter. If we fail, our world will face a more extensive crisis than we experienced because of the global COVID-19 pandemic. When artificial intelligence (AI) technology helps solve a problem, problem-solving can be done quicker, and the solution is often one that would have taken longer for humans to discover. There's no time to waste: atmospheric CO2 levels are the highest ever (even with significant drops from the stay-at-home orders for COVID-19), average sea levels are rising (3 inches in the last 25 years alone), and 2019 was the hottest year on record for the world's oceans. Artificial intelligence isn't a silver bullet, but it can certainly help us reduce greenhouse gas (GHG) emissions in various ways.


CU Boulder Professor leads new journal filling Environmental Data Science gap

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Environmental Data Science – a new journal devoted to innovative data-driven approaches to environmental problems including climate change, edited by Associate Professor Claire Monteleoni – recently published its first cluster of papers. The open access journal, published by Cambridge University Press, allows anyone to read, reproduce and re-use content and fills a gap as environmental data science research is often seen as too applied for computer science journals and too interdisciplinary for journals in the environmental sciences. The first cluster of papers published in the outlet include four application papers, a data paper, and two perspectives from authors at universities around the globe. Monteleoni is part of the Department of Computer Science at CU Boulder and has been working at this interface for more than a decade – including co–founding the Climate Informatics Conference in 2011. "Data science broadly defined – AI, machine learning, statistics, and data mining – is the key to unlock insights from environmental data, and help us address major challenges, including climate change," she said.