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Categories: Computer Science: Artificial Intelligence (AI), Environmental: Ecosystems

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Scientists set out to address one of the biggest uncertainties about how carbon-rich permafrost will respond to gradual sinking of the land surface as temperatures rise. Using a high-performance computer simulation, the research team found that soil subsidence is unlikely to cause rampant thawing in the future.

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Engineering researchers are successfully using a robot to help keep children with learning disabilities focused on their work.

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Researcher see the interconnections between the systems in nature and how each component impacts the others. In Connecticut, rich in forests and farmland, experts see the potential that could position the state at the forefront of a climate-smart agriculture (CSA) approach using an emerging sustainable practice called biochar.

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Climate change is aggravating the impact of droughts -- one of the factors that only affect plant physiology -- on all plant ecosystems worldwide. Although new tools have been developed to detect and assess drought stress in plants -- transcriptomic or metabolomic technologies, etc. -- they are still difficult to apply in natural ecosystems, especially in remote areas and developing countries.

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Not all Chinook salmon are created equal, and this has a major impact on the energetics for southern resident killer whales. A recent study quantified the lipid content in Fraser River Chinook salmon -- the southern resident's preferred meal -- and found that spring-run Chinook salmon, the earliest to arrive to the Salish Sea are lipid-rich and energy dense; a critical factor for the killer whales who prey on them. Fraser River Chinook salmon that come later in the season have lower energy density.

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Researchers have identified 26 global warming accelerators known as amplifying feedback loops that the researchers say aren't being properly included in climate models. They note that the findings add urgency to the need to respond to the climate crisis and provide a roadmap for policymakers aiming to avert the most severe consequences of a warming planet.

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Researchers may have found the key to a truly efficient and inexpensive mechanism for removing carbon dioxide from seawater. The method could be far more efficient than existing systems for removing the greenhouse gas from the air.

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In mountainous western North America, vegetation cover has moved upward at a rapid rate over the past several decades, according to a new study. Understanding such shifts in species distribution could provide insights on the velocity of climate change and aid conservation planning.

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Most land-based mammals in the Brazilian Amazon are threatened by climate change and the savannization of the region.

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Researchers have developed a machine learning-based ensemble approach to quantify fire-induced thaw settlement across the entire Tanana Flats in Alaska, which encompasses more than 3 million acres. They linked airborne repeat lidar data to time-series Landsat products (satellite images) to delineate thaw settlement patterns across six large fires that have occurred since 2000. The six fires resulted in a loss of nearly 99,000 acres of evergreen forest from 2000 to 2014 among nearly 155,000 acres of fire-influenced forests with varying degrees of burn severity. This novel approach helped to explain about 65 percent of the variance in lidar-detected elevation change.

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Could an app tell if a first date is just not that into you? Engineers say the technology might not be far off. They trained a computer to identify the type of conversation two people were having based on their physiological responses alone.

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Scientists found that some reefs in the tropical Pacific Ocean could maintain high coral cover into the second half of this century by shuffling the symbiotic algae they host. The findings offer a ray of hope in an often-dire picture of the future of coral reefs worldwide.

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A new system represents the first time that the capabilities of conventional beam-scanning lidar systems have been combined with those of a newer 3D approach known as flash lidar. The nonmechanical 3D lidar system is compact enough to fit in the palm of the hand and solves issues of detecting and tracking poorly reflective objects.

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New artificial intelligence technology being developed by engineers could significantly cut down on the time and cost that goes into film study for Super Bowl-bound teams (and all NFL and college football teams), while also enhancing game strategy by harnessing the power of big data.

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The endangered Bahama Warbler may be surviving on just one island following Hurricane Dorian's devastation in 2019, according to researchers. A new study shows the bird's distribution and ecology on Grand Bahama before the hurricane struck. But the team says that the warbler may now only survive on neighboring Abaco island, after hurricane Dorian destroyed the bird's forest habitat on Grand Bahama. The research comes from the same team that found what is thought to have been the last living Bahama Nuthatch, previously thought to have been extinct.

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Researchers have found that carbon sequestration and plant resilience as well as forage pasture yield can be increased through key adjustments in agricultural management. The results provide a roadmap for reducing pesticide loads in soils and the first steps towards increasing climate change mitigation while improving crop yield in grasslands.

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The collapse of the Hittite Empire in the Late Bronze Age has been blamed on various factors, from war with other territories to internal strife. Now, scientists have used tree ring and isotope records to pinpoint a more likely culprit: three straight years of severe drought.

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Engineers have developed artificial intelligence (AI) technology to predict if women with breast cancer would benefit from chemotherapy prior to surgery.

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FRIDA, a robotic arm with a paintbrush taped to it, uses artificial intelligence to collaborate with humans on works of art. Ask FRIDA to paint a picture, and it gets to work putting brush to canvas. The robot uses AI models similar to those powering tools like OpenAI's ChatGPT and DALL-E 2, which generate text or an image, respectively, in response to a prompt. FRIDA simulates how it would paint an image with brush strokes and uses machine learning to evaluate its progress as it works. FRIDA's final products are impressionistic and whimsical. The brushstrokes are bold. They lack the precision sought so often in robotic endeavors. If FRIDA makes a mistake, it riffs on it, incorporating the errant splotch of paint into the end result.

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Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these large language models write smaller linear models inside their hidden layers, which the large models can train to complete a new task using simple learning algorithms.