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Deep Learning's Climate Change Problem

#artificialintelligence

The human brain is an incredibly efficient source of intelligence. Earlier this month, OpenAI announced it had built the biggest AI model in history. This astonishingly large model, known as GPT-3, is an impressive technical achievement. Yet it highlights a troubling and harmful trend in the field of artificial intelligence--one that has not gotten enough mainstream attention. Modern AI models consume a massive amount of energy, and these energy requirements are growing at a breathtaking rate.


How Having Bigger AI Models Can Have A Detrimental Impact On Environment

#artificialintelligence

The COVID crisis has skyrocketed the applications of artificial intelligence -- from tackling this global pandemic, to being a vital tool in managing various business processes. Despite its benefits, AI has always been scrutinised for its ethical concerns like existing biases and privacy issues. However, this technology also has some significant sustainability issues – it is known to consume a massive amount of energy, creating a negative impact on the environment. As AI technology is getting advanced in predicting weather, understanding human speech, enhancing banking payments, and revolutionising healthcare, the advanced models are not only required to be trained on large datasets, but also require massive computing power to improve its accuracy. Such heavy computing and processing consumes a tremendous amount of energy and emits carbon dioxide, which has become an environmental concern. According to a report, it has been estimated that the power required for training AI models emits approximately 626,000 pounds (284 tonnes) of carbon dioxide, which is comparatively five times the lifetime emissions of the average US car.


Deep Learning's Climate Change Problem

#artificialintelligence

The human brain is an incredibly efficient source of intelligence. Earlier this month, OpenAI announced it had built the biggest AI model in history. This astonishingly large model, known as GPT-3, is an impressive technical achievement. Yet it highlights a troubling and harmful trend in the field of artificial intelligence--one that has not gotten enough mainstream attention. Modern AI models consume a massive amount of energy, and these energy requirements are growing at a breathtaking rate.


Giant larvacean could help the battle against climate change

Daily Mail - Science & tech

A strange sea creature that lives 1,000 feet below the surface encased in a giant bubble of mucus may be key to removing carbon dioxide from the atmosphere. These bubble-houses are discarded and replaced regularly as the animal grows in size and its filters become clogged with particles. Once discarded, they sink to the seafloor and encapsulate the carbon for good, preventing it from re-entering the atmosphere. Larvaceans also capture and dispose of microplastics in this way, which can come from clothing and cosmetics and often ingested by other marine species. Researchers used a system of lasers mounted on a 12,000 pound robot to map the giant larvacean's delicate body in a series of 3D images.


Climate change: What do all the terms mean?

BBC News

Climate change is seen as the biggest challenge to the future of human life on Earth, and understanding the scientific language used to describe it can sometimes feel just as difficult. But help is at hand. Use our translator tool to find out what some of the words and phrases relating to climate change mean. Keeping the rise in global average temperature below 1.5 degrees Celsius will avoid the worst impacts of climate change, scientists say.


Can AI be Used To Fight Climate Change

#artificialintelligence

We invited three industry expert speakers using AI to battle climate change. During the hour long webinar, Anita Faul, Data Scientist at the British Antarctic Survey, Lauren Kuntz, CEO and Co-Founder of Gaiascope and Topher White, CEO and Founder of Rainforest Connections walked us through their business use applications of AI to fight the change in climate. Anita started her talk with an explanation of the Thwaites Glacier, otherwise know as the'Doomsday Glacier'. This glacier is responsible for 4% of all sea level increase - if it were to melt completely, sea levels would rise by half a meter in total (hence the name). Therefore, Anita's objective at the Antarctic Survey is to identify icebergs efficiently and reliably in Synthetics Aperture Radar (SAR) satellite images to estimate ice loss.


How to reverse-engineer a rainforest

Engadget

But 2019 was the year the earth burned. In Australia, the world watched in horror as bushfires destroyed 10.3 million hectares, marking the continent's most intense and destructive fire season in over 40 years. Earlier that fall, California saw more than 101,000 hectares destroyed, with damages upward of $80 billion. Alaska saw nearly a million. Record-breaking fires also hit Indonesia, Russia, Lebanon -- but nowhere saw the sheer mass of media coverage as the fires that tore through the Amazon nearly all last summer. By year's end, thousands of global media outlets had reported that Brazil's largest rainforest played host to more than 80,000 individual forest fires in 2019, resulting in an estimated 906,000 square hectares of environmental destruction. At the time, Brazil's National Institute for Space Research reported it was the fastest rate of burning since record keeping began in 2013. But amid the charred ruins of one of the largest oxygen-producing environments on the planet, a secret lies buried beneath the soil.


What Do DDT and Computing Have in Common?

Communications of the ACM

Writing on the 50th Earth Day brings to mind the origins of U.S. environmental movement. DDT is, of course, Bis(4-chlorophenyl)- 1,1,1-trichloroethane, perhaps the most effective insecticide ever invented. DDT was used widely with remarkable effectiveness in the 1940s and 1950s to combat malaria, typhus, and the other insect-borne human diseases. Its efficacy was unsurpassed in insect control for crop and livestock production, and even villages and homes. In short, it was a wonder chemical.7


Tackling climate change with machine learning: The power of entrepreneurship IAM Network

#artificialintelligence

The importance of start-ups and climate tech companies in advancing the use of machine learning to combat climate change was emphasized at a recent online workshop. May 6, 2020 pv magazineAcademics from a group devoted to considering how machine learning can help combat climate change have spoken of the response to a recent workshop which was moved online because of the Covid-19 crisis.The Climate Change AI group hosted a'tackling climate change with machine learning' workshop during this year's International Conference on Learning Representations (ICLR) event."We've "These forecasts can then be sold to electricity suppliers …


AI can tackle the climate emergency – if developed responsibly

#artificialintelligence

Our planet is altering at a dangerous pace due to climate change. And at the same time, we seem to be entering a period of unprecedented technological transformation. Advances in robotics, artificial intelligence (AI) and internet-connected devices are creating increasingly complex intelligent technological systems. As pressures on the planet and its climate increase, so does the hope that these novel technologies will be able to help us detect, adapt and respond to the growing environmental crisis. There are plenty of examples of how artificial intelligence could do this.