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Categories: Computer Science: General, Ecology: Research

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Despite steps toward decreasing deforestation, uncontrolled wildfires are threatening environmental gains in Brazilian Amazonia, one of the world's most critical carbon sinks and a region of high biological and cultural diversity.  

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In a new breakthrough, researchers have used a novel technique to confirm a previously undetected physics phenomenon that could be used to improve data storage in the next generation of computer devices.   

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Quantum computers promise to reach speeds and efficiencies impossible for even the fastest supercomputers of today. Yet the technology hasn't seen much scale-up and commercialization largely due to its inability to self-correct. Quantum computers, unlike classical ones, cannot correct errors by copying encoded data over and over. Scientists had to find another way. Now, a new paper illustrates a quantum computing platform's potential to solve the longstanding problem known as quantum error correction.

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Scientists have developed a technique called 'Time-dependent Stochastic Parameter Shift' in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.

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A new study of the microbial ecosystem in sourdough finds that using different types of flour fosters distinct bacterial communities, and that these differences contribute to the variation of sourdough aromas and flavors.

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Researchers have developed an easy-to-use optical chip that can configure itself to achieve various functions. The positive real-valued matrix computation they have achieved gives the chip the potential to be used in applications requiring optical neural networks.

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Researchers have demonstrated a type of quantum eraser. The physicists show that they can pinpoint and correct for mistakes in quantum computing systems known as 'erasure' errors. 

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Artificial intelligence (AI) comes with promises of helping coders code faster, drivers drive safer, and making daily tasks less time-consuming. But a recent study demonstrates that the tool, when adopted widely, could have a large energy footprint, which in the future may exceed the power demands of some countries.

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Researchers have found that tropical forest ecosystems are more reliant on aquatic insects than temperate forest ecosystems, making them more vulnerable to disruptions to the links between land and water. This is a significant finding, as tropical forests play a vital role in global biodiversity and climate regulation. The study's authors warn that any disruption to the land-water connections in these ecosystems could have serious consequences for their health and resilience.

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Increased salinity usually spells trouble for freshwater insects like mayflies. A new study finds that the lack of metabolic responses to salinity may explain why some freshwater insects often struggle in higher salinity, while other freshwater invertebrates (like mollusks and crustaceans) thrive. 

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A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks--the engines that drive artificial intelligence and machine learning--thereby illuminating a process that has largely been concealed from users.   

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Bewick’s swans fly less far during their autumn migration when the weather is warm. Climate change has therefore led to a shift in their common wintering areas. Now, for the first time, bird researchers have been able to use long-term GPS data to pinpoint the specific choices that individual swans make.

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Whether you’re battling foes in a virtual arena or collaborating with colleagues across the globe, lag-induced disruptions can be a major hindrance to seamless communication and immersive experiences. That’s why researchers have developed new technology to make data transfer over optical fiber communication faster and more efficient.

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Rivers across England have seen a significant improvement in river invertebrate biodiversity since 1989, shows a new study.

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Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.

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For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality and size of individual crops. Finding the optimal time to harvest is therefore a priority for farmers. A new approach making heavy use of drones and artificial intelligence demonstrably improves this estimation by carefully and accurately analyzing individual crops to assess their likely growth characteristics.

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The increasingly urgent climate crisis has led to a boom in commercial tree plantations in an attempt to offset excess carbon emissions. However, authors argue that these carbon-offset plantations might come with costs for biodiversity and other ecosystem functions. Instead, the authors say we should prioritize conserving and restoring intact ecosystems.

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Researchers developed the first AI to date that can intelligently design robots from scratch by compressing billions of years of evolution into mere seconds. It's not only fast but also runs on a lightweight computer and designs wholly novel structures from scratch — without human-labeled, bias-filled datasets.

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A shift in the way we think about the benefits mangroves provide to coastal regions could yield significant economic and biodiversity gains and protect millions from flooding, research has revealed.

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Viruses in soil may not be as destructive to bacteria as once thought and could instead act like lawnmowers, culling older cells and giving space for new growth, according to research.