Environmental Impact Of Artificial Intelligence
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Environmental Impact Of Artificial Intelligence
The environmental impact of artificial intelligence includes substantial energy consumption for training and using deep learning models, and the related carbon footprint and water usage. Some scientists have suggested that artificial intelligence (AI) may also provide solutions to environmental problems. Carbon footprint AI has a significant carbon footprint due to growing energy usage, especially due to training and usage. Researchers have argued that the carbon footprint of AI models during training should be considered when attempting to understand the impact of AI. One study suggested that by 2027, energy costs for AI could increase to 85–134 Twh, nearly 0.5% of all current electricity usage. Training Large language model, large language models (LLMs) and other Generative artificial intelligence, generative AI generally requires much more energy compared to running a single prediction on the trained model. Using a trained model repeatedly, though, may easily multiply the e ...
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Energy Development
Energy development is the field of activities focused on obtaining sources of energy from natural resources. These activities include the production of renewable, nuclear, and fossil fuel derived sources of energy, and for the recovery and reuse of energy that would otherwise be wasted. Energy conservation and efficiency measures reduce the demand for energy development, and can have benefits to society with improvements to environmental issues. Societies use energy for transportation, manufacturing, illumination, heating and air conditioning, and communication, for industrial, commercial, agricultural and domestic purposes. Energy resources may be classified as primary resources, where the resource can be used in substantially its original form, or as secondary resources, where the energy source must be converted into a more conveniently usable form. Non-renewable resources are significantly depleted by human use, whereas renewable resources are produced by ongoing proces ...
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Three Mile Island Accident
The Three Mile Island accident was a partial nuclear meltdown of the Unit 2 reactor (TMI-2) of the Three Mile Island Nuclear Generating Station, located on the Susquehanna River in Londonderry Township, Dauphin County, Pennsylvania, Londonderry Township near Harrisburg, Pennsylvania. The reactor accident began at 4:00 a.m. on March 28, 1979, and released Radioactive decay, radioactive gases and radioactive iodine-131, iodine into the environment. It is the worst accident in U.S. commercial nuclear power plant history. On the seven-point Logarithmic scale, logarithmic International Nuclear Event Scale, the TMI-2 reactor accident is rated Level5, an "Accident with Wider Consequences". The accident began with failures in the non-nuclear secondary system, followed by a stuck-open pilot-operated relief valve (PORV) in the primary system, which allowed large amounts of water to escape from the pressurized isolated coolant loop. The mechanical failures were compounded by the in ...
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Three Mile Island Nuclear Generating Station
Three Mile Island Nuclear Generating Station (abbreviated as TMI), is a shut-down nuclear power plant on Three Mile Island in Pennsylvania, US, on the Susquehanna River just south of Harrisburg, Pennsylvania, Harrisburg. It has two separate units, Unit 1 (TMI-1) (owned by Constellation Energy) and Unit 2 (TMI-2) (owned by EnergySolutions). The plant was the site of the Three Mile Island accident, most significant accident in United States commercial nuclear energy when, on March 28, 1979, TMI-2 suffered a partial Nuclear meltdown, meltdown. According to the U.S. Nuclear Regulatory Commission (NRC) report, the accident resulted in no deaths or injuries to plant workers or in nearby communities. Follow-up epidemiology studies did not find causality between the accident and any increase in cancers. One work-related death has occurred on-site during decommissioning. The nuclear reactor core, reactor core of TMI-2 has since been removed from the site, but the site has not been ful ...
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Constellation Energy
Constellation Energy Corporation is an American energy company headquartered in Baltimore, Maryland. The company provides electric power, natural gas, and energy management services. It has approximately two million customers across the continental United States. The company was known as Constellation Energy Group (former NYSE ticker symbol CEG), a Fortune 500 company and one of the largest electricity producers in the United States, until a merger with Exelon in 2012. When FERC approved the acquisition, Constellation Energy's energy supply business was re-branded as Constellation, an Exelon company. As part of the 2012 merger, Baltimore Gas and Electric, the regulated utility operated by Constellation Energy, became a regulated utility operating under Exelon Utilities. The current iteration of the company was founded in 2022 after splitting off from Exelon. Before merging with Exelon, Constellation Energy Group operated more than 35 power plants in 11 states (mai ...
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Jevons Paradox
In economics, the Jevons paradox (; sometimes Jevons effect) occurs when technological advancements make a resource more efficient to use (thereby reducing the amount needed for a single application); however, as the cost of using the resource drops, if the price is highly elastic, this results in overall demand increasing, causing total resource consumption to rise. Governments have typically expected efficiency gains to lower resource consumption, rather than anticipating possible increases due to the Jevons paradox. In 1865, the English economist William Stanley Jevons observed that technological improvements that increased the efficiency of coal use led to the increased consumption of coal in a wide range of industries. He argued that, contrary to common intuition, technological progress could not be relied upon to reduce fuel consumption. The issue has been re-examined by modern economists studying consumption rebound effects from improved energy efficiency. In additi ...
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KQED Inc
KQED may refer to: * KQED (TV), a PBS member station in San Francisco * KQED-FM KQED-FM (88.5 MHz) is a listener-supported, non-commercial public radio station in San Francisco, California. It is simulcast on KQEI-FM (89.3 MHz) in the Sacramento metropolitan area. The parent organization is KQED Inc., which also owns tw ..., an NPR member station in San Francisco * KQED Inc., the parent organization of KQED (TV) and KQED-FM See also * * WQED (other) * QED (other) {{Call sign disambiguation ...
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Computation
A computation is any type of arithmetic or non-arithmetic calculation that is well-defined. Common examples of computation are mathematical equation solving and the execution of computer algorithms. Mechanical or electronic devices (or, historically, people) that perform computations are known as ''computers''. Computer science is an academic field that involves the study of computation. Introduction The notion that mathematical statements should be 'well-defined' had been argued by mathematicians since at least the 1600s, but agreement on a suitable definition proved elusive. A candidate definition was proposed independently by several mathematicians in the 1930s. The best-known variant was formalised by the mathematician Alan Turing, who defined a well-defined statement or calculation as any statement that could be expressed in terms of the initialisation parameters of a Turing machine. Other (mathematically equivalent) definitions include Alonzo Church's '' lambda-defin ...
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Individual Action On Climate Change
Individual action on climate change describes the personal choices that everyone can make to reduce the greenhouse gas emissions of their lifestyles and catalyze climate action. These actions can focus directly on how choices create emissions, such as reducing consumption of meat or flying, or can focus more on inviting political action on climate or creating greater awareness how society can become more green. Excessive consumption is one of the most significant contributors to climate change and other environmental issue than population increase, although some experts contend that population remains a significant factor. High consumption lifestyles have a greater environmental impact, with the richest 10% of people emitting about half the total lifestyle emissions. Creating changes in personal lifestyle, can change social and market conditions leading to less environmental impact. People who wish to reduce their carbon footprint (particularly those in high income countries wit ...
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Personalized Marketing
Personalized marketing, also known as one-to-one marketing or individual marketing, is a marketing strategy by which companies use data analysis and digital technology to show adverts to individuals based on their perceived characteristics and interests. Marketers use methods from data collection, analytics, digital electronics, and digital economics then use technology to analyze it and show personalized ads based on algorithms that attempt to deduce people’s interests. Technology Personalized marketing is dependent on many different types of technology for data collection, data classification, data analysis, data transfer, and data scalability. Technology enables marketing professionals to collect first-party data such as gender, age group, location, and income, as well as connect them with third-party data such as click-through rates of online banner ads and social media participation. Data Management Platforms: A data management platform (DMP) is a centralize ...
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Hydrocarbon Exploration
Hydrocarbon exploration (or oil and gas exploration) is the search by petroleum geologists and geophysicists for hydrocarbon deposits, particularly petroleum and natural gas, in the Earth's crust using petroleum geology. Exploration methods Visible surface features such as oil seeps, natural gas seeps, pockmarks (underwater craters caused by escaping gas) provide basic evidence of hydrocarbon generation (be it shallow or deep in the Earth). However, most exploration depends on highly sophisticated technology to detect and determine the extent of these deposits using exploration geophysics. Areas thought to contain hydrocarbons are initially subjected to a gravity survey, magnetic survey, passive seismic or regional seismic reflection surveys to detect large-scale features of the sub-surface geology. Features of interest (known as ''leads'') are subjected to more detailed seismic surveys which work on the principle of the time it takes for reflected sound waves to travel ...
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