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The CO2 that is extracted from the water is run through a purification process that uses activated carbon in the form of charred coconut husks, and is then ready to be stored. tripscan In a scaled up system, it would be fed into geological CO2 storage. Before the water is released, its acidity is restored to normal levels, making it ready to absorb more carbon dioxide from the air. “This discharged water that now has very low carbon concentrations needs to refill it, so it’s just trying to suck CO2 from anywhere, and it sucks it from the atmosphere,” says Halloran. “A simple analogy is that we’re squeezing out a sponge and putting it back.” While more tests are needed to understand the full potential of the technology, Halloran admits that it doesn’t “blow direct air capture out the water in terms of the energy costs,” and there are other challenges such as having to remove impurities from the water before releasing it, as well as the potential impact on ecosystems. But, he adds, all carbon capture technologies incur high costs in building plants and infrastructure, and using seawater has one clear advantage: It has a much higher concentration of carbon than air does, “so you should be able to really reduce the capital costs involved in building the plants.” https://tripscan.biz трип скан Mitigating impacts One major concern with any system that captures carbon from seawater is the impact of the discharged water on marine ecosystems. Guy Hooper, a PhD researcher at the University of Exeter, who’s working on this issue at the SeaCURE site, says that low-carbon seawater is released in such small quantities that it is unlikely to have any effect on the marine environment, because it dilutes extremely quickly. However, that doesn’t mean that SeaCURE is automatically safe. “To understand how a scaled-up version of SeaCURE might affect the marine environment, we have been conducting expe

Study reveals how much energy AI uses to answer your questions tripscan войти Whether it’s answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people’s lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up. Each word in an AI prompt is broken down into clusters of numbers called “token IDs” and sent to massive data centers — some larger than football fields — powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations. The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute. https://tripscan.biz трипскан сайт So, for each prompt you give AI, what’s the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers. In addition, “smarter” LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported. “This shows us the tradeoff between energy consumption and the accuracy of model performance,” said Maximilian Dauner, a doctoral student at Hochschule Munchen University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday. Typically, these smarter, more energy intensive LLMs have tens of billions more parameters — the biases used for processing token IDs — than smaller, more concise models. “You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer