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Categories: Energy: Fossil Fuels, Mathematics: Modeling

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A new advancement in theoretical physics could, one day, help engineers develop new kinds of computer chips that might store information for longer in very small objects.

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Human pathologists are extensively trained to detect when tissue samples from one patient mistakenly end up on another patient's microscope slides (a problem known as tissue contamination). But such contamination can easily confuse artificial intelligence (AI) models, which are often trained in pristine, simulated environments, reports a new study. Each of the four AI models in the study paid too much attention to the tissue contamination, which resulted in errors when diagnosing or detecting vessel damage, gestational age, lesions and prostate cancer, the study found.

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Researchers have performed the world's first life cycle assessment (LCA) of an existing, two-seater, all-electric aircraft, with a direct comparison to an equivalent fossil fuel-powered one. According to the study, after just one quarter of the expected lifespan of the electric aircraft, the climate impact is lower than that of the fossil fuel-based aircraft, provided that green electricity is used. The downside, however, is increased mineral resource scarcity.

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A newly published study provides guidance for building accurate mathematical models for gene regulatory networks.

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Cancer resists treatment in a multitude of ways, but a new algorithm developed can decode them all simultaneously.

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Antineutrinos generated in nuclear fission can be measured to remotely monitor the operation of nuclear reactors and verify that they are not being used to produce nuclear weapons, report scientists. Thanks to a newly developed method, it is now possible to estimate a reactor's operation status, fuel burnup, and fuel composition based entirely on its antineutrino emissions. This technique could contribute massively to nuclear non-proliferation efforts and, in turn, safer nuclear energy.

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New insights from artificial intelligence about permafrost coverage in the Arctic may soon give policy makers and land managers the high-resolution view they need to predict climate-change-driven threats to infrastructure such as oil pipelines, roads and national security facilities.

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Researchers are tapping into idled electric vehicles to act as mobile generators and help power overworked and aging electricity grids. After analyzing energy demand on Alberta's power grid during rush hour, the research proposes an innovative way to replenish electrical grids with power generated from fuel cells in trucks.

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In an effort to make the internet more accessible for people with disabilities, researchers have begun developing an artificial intelligence agent that could complete complex tasks on any website using simple language commands.

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A study has found that green ammonia could be used to fulfill the fuel demands of over 60% of global shipping by targeting just the top 10 regional fuel ports. Researchers looked at the production costs of ammonia which are similar to very low sulphur fuels, and concluded that the fuel could be a viable option to help decarbonize international shipping by 2050.

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Researchers have developed a groundbreaking artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98 percent accuracy.

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Researchers are presenting a novel concept for the mathematical modeling of genetic interactions in biological systems. The team has successfully identified master regulators within the context of an entire genetic network. The research results provide a coherent theoretical framework for analyzing biological networks.

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To address natural resource scarcity, pollution, and other harmful effects of climate change, some scientists and policymakers emphasize the adoption of input-efficient technologies like water-saving devices and fuel-saving stoves. Proponents often refer to these input-efficient technologies as 'win-win,' for the benefits to their users and to the environment, and lament their low adoption rates by consumers, in what they call an 'efficiency paradox.' A new paper examines this paradox and finds that the benefits to consumers from input-efficiency adoption are, on average, negative.

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Coal is an abundant resource in the United States that has, unfortunately, contributed to climate change through its use as a fossil fuel. As the country transitions to other means of energy production, it will be important to consider and reevaluate coal's economic role. Coal may actually play a vital role in next-generation electronic devices.

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Researchers have developed a solid electrolyte for transporting hydride ions at room temperature. This breakthrough means that the full advantages of hydrogen-based solid-state batteries and fuel cells can be had without the need for constant hydration. This will reduce their complexity and cost, which is essential for advancing towards a practical hydrogen-based energy economy.

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Using artificial intelligence, researchers discovered a class of compounds that can kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes more than 10,000 deaths in the U.S. each year.

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In a recent study, researchers systematically tested an early version of ChatGPT's understanding of statements in six categories: facts, conspiracies, controversies, misconceptions, stereotypes, and fiction. 

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A new study finds that clinicians were fooled by biased AI models, even with provided explanations for how the model generated its diagnosis.

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An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.

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Artificial intelligence can analyze registry data on people's residence, education, income, health and working conditions and, with high accuracy, predict life events.