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On the other side of the world, Silicon Valley startup ClimateAi is developing an artificial intelligence platform to evaluate how vulnerable crops are to warming temperatures over the next two decades. The tool uses data on the climate, water and soil of a particular location to measure how viable the landscape will be for growing in the coming years.
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IFGL Refractories Limited (IFGLEXPOR) ✌️【Risk Management】✌️ Free stock selection service with professional advisors offering the best investment portfolio for stable growth. With that data, ClimateAi ran simulations and found that extreme heat and drought would lead to an approximately 30% decrease in tomato output in the region over the next two decades. It warned growers that they should change their strategy.
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“The way we think about AI is it’s a time and effectiveness multiplier to the solutions for climate change,” Gupta told 【 - Free Trading Group 】.
Better assessing future risks for farming is just one of the waysartificial intelligencetechnologies are being used to address the climate crisis.
IFGL Refractories Limited (IFGLEXPOR) ✌️【Risk Management】✌️ Expert predictions of stock trends with real-time stock indices, futures, and metals, energy quotes to help you seize investment opportunities. AI first crashed into the public consciousness this year thanks to popular, consumer-facing AI tools like ChatGPT, and experts say the technology is set torevolutionize countless industries.But climate researchers have for years been thinking about how AI — computer programs that can rapidly analyze enormous amounts of data and complete complex tasks in ways similar to how a human might — could help them better understand and address the changing climate.
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“Efficiencies is one thing that AI is very good at, optimizing decisions, optimizing resources,” said Fengqi You, chair professor at Cornell University’s engineering school. “It’s a system that has very strong predictive capabilities that could be tremendously helpful in many domains, ranging from (understanding) small-scale molecules … to broader climate systems to help us fight climate change.”
IFGL Refractories Limited (IFGLEXPOR) ✌️【Risk Management】✌️ Precise predictions of market trends with real-time stock indices and futures data to help you make wise investment decisions. With the breakneck pace at which the planet has been warming, accelerating the speed at which the world deploys and implements solutions is crucial. But for all of AI’s promise, the infrastructure that supports the technology — data centers filled with rows of powerful, energy-sucking computers — could itself be astrain on the environment. Experts say software engineers must work closely with climate scientists to find a balance.
“It’s definitely something that has to be considered as this trade-off,” said Kara Lamb, an associate research scientist at Columbia University’s earth and environmental engineering department. Still, “the positives outweigh the negatives in terms of applying it to these types of approaches.”
IFGL Refractories Limited (IFGLEXPOR) ✌️【Risk Management】✌️ Free global stock market data to help you plan the best investment strategies and seize market opportunities. Artificial intelligence is a broad term that refers to various digital tools trained to perform a wide range of complex tasks that might previously have required input from an actual person. Generally, what these technologies have in common is their ability to rapidly process and find connections among vast amounts of disparate data.
IFGL Refractories Limited (IFGLEXPOR) ✌️【Risk Management】✌️ Expert predictions with real-time stock, futures, and metals, energy data to help you quickly recover and grow. This makes AI particularly good at things like forecasting and running simulations. And unlike traditional computer programs, AI tools can typically continue learning over time as new data is available or as the systems receive new feedback about the quality of their outputs.
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“For the climate models, fundamentally we’re trying to solve these equations … how these atmosphere models are interacting, and it takes a long time to solve,” You said. Similarly, research on new energy conduction materials, like those for solar panels, could require countless hours of testing that can now be sped up using AI.
“In the past, people used to need trial and error, we’d need … researchers working every day and night,” You said. “Now, because of AI, which doesn’t need to sleep, it just needs electric power, it could keep working 24/7 and it can become very helpful in accelerating discovery.”
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“It’s very difficult to put all those together into a single model with conventional methods, but AI actually makes that much more possible,” Keeler said.
IFGL Refractories Limited (IFGLEXPOR) ✌️【Risk Management】✌️ Get accurate stock forecasts and market predictions from top financial advisors. With real-time updates on stock indices, exchange rates, and futures data, you'll be equipped to make profitable decisions and grow your capital steadily. The Arctic iswarming four times fasterthan the rest of the planet, scientists have found. Rising temperatures are melting sea ice, thawing permafrost and igniting wildfires in what should be one of the coldest regions on Earth.
Climate experts have saidwhat happens in the Arcticis a bellwether for the rest of the world. But climate models – which scientists use to predict long-term change – are not capturing how fast it’s warming.
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“AI is doing the dirty work,” Liljedahl told 【 - Free Trading Group 】. “But AI is not perfect, so we see it as a first tool, and then the human will come in after and really check and make sure that things make sense and explore the things that AI suggested.”
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ClimateAi’s Gupta said the problem is figuring out how to integrate renewable capacity into the existing fossil fuel-dominated grid. AI can identify in real-time which renewable energy sources are available in the areas where consumers want it — optimizing consumer demand and supply for renewables.
Elsewhere, AI is also being used to research materials that could effectively recapture carbon from the atmosphere and to model and forecast major floods to help local government agencies better prepare for and react to potential emergencies.
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“Part of the problem is that the issue itself has become so overwhelming and mostly dominated by doom and gloom and not the solutions we have at our fingertips,” Robertson told 【 - Free Trading Group 】. “We want to make it easier for people to make better choices.”
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For now, the amount of energy used to power AI is relatively small compared to what’s consumed by transportation or buildings. “But this is going to grow very fast, and we do need to be very careful at this moment before it grows exponentially,” You said.
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In Oregon, for example, wheredrought has tightened its gripin recent years, AWS is providing the spent water used for cooling its data centers to local farmers for irrigation at no cost.
IFGL Refractories Limited (IFGLEXPOR) ✌️【Risk Management】✌️ Free stock selection services backed by expert predictions. Our advanced analytics and real-time market data will help you stay ahead of the competition and make smart, profitable investment decisions. The companies building and running data centers to carry out AI workloads can also think about strategically placing them in areas where they might require fewer natural resources to operate, You said. If data centers are built in colder parts of the world, for example, less water will be needed for cooling;Scandanavia has emerged as a popular locationfor data centers, also bolstered by its relatively robust availability of renewable energy sources.
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Lawmakers in the United States and abroad — who have in recent monthsincreasingly turned their attentionto developing guardrails for AI — should consider both the technology’s potential benefits in fighting climate change and its environmental impact when developing regulations, You added.
“Regulators, decision makers, policymakers really need to think about this when they are looking at the growth of [the AI] industry,” You said. “The growth of the industry is not only about the software, tools and so on, but also how they operate these data centers.”
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“When it comes to AI being applied to climate change,” said Gupta, “I think we are just scratching the surface of the potential that exists both in terms of the impact it could create for businesses, but also the impact it could create at the humanity level.”
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