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Categories: Computer Science: Artificial Intelligence (AI), Geoscience: Severe Weather

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A team of researchers has created a digital pathology platform based on artificial intelligence. The platform uses new algorithms developed by the team and enables fully automated analysis of tissue sections from lung cancer patients. The platform makes it possible to analyze digitized tissue samples on the computer for lung tumors more quickly and accurately than before.

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Non-living hydrogels can play the video game Pong and improve their gameplay with more experience, researchers report. The researchers hooked hydrogels up to a virtual game environment and then applied a feedback loop between the hydrogel's paddle -- encoded by the distribution of charged particles within the hydrogel -- and the ball's position -- encoded by electrical stimulation. With practice, the hydrogel's accuracy improved by up to 10%, resulting in longer rallies. The researchers say that this demonstrates the ability of non-living materials to use 'memory' to update their understanding of the environment, though more research is needed before it could be said that hydrogels can 'learn.'

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Researchers used machine learning to determine how much global warming has influenced extreme weather events in the U.S. and elsewhere in recent years. Their approach could change how scientists study and predict the impact of climate change on extreme weather.

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An insect species that evolved 130 million years ago is the inspiration for a new research study to improve navigation systems in drones, robots, and orbiting satellites.

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A recent study shows that climate change may cause many areas in Canada to experience significant droughts by the end of the century. In response, the researchers have introduced an advanced AI-based method to map drought-prone regions.

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Heat waves, droughts, and fires place growing stress on the West's electric grid. New research suggests that more integrated management of electricity resources across the region could significantly reduce the risk of power outages and accelerate the transition to clean energy.

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A new adaptive 3D printing system can identify the positions of randomly distributed organisms and safely move them to specific locations for assembly.

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Low- and moderate-severity forest wildfires can reduce the intensity of future fires, according to new research on 'reburns.'

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The design of streets and layout of buildings have an impact on a city's resilience in the face of increasingly severe floods brought on by climate change. Researchers look at buildings and other urban structures as physicists consider elements in complex material systems. With this insight, the researchers have developed a new approach to urban flood modelling and found their results helpful in analyzing city-to-city variations in flood risk globally.

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Two scientists discovered a new type of 'whistler,' an electromagnetic wave that carries a substantial amount of lightning energy to the Earth's magnetosphere.

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Researchers are measuring and scanning samples for a global 'hailstone library'. Storm simulations using 3-D modelling of real hailstones -- in all sorts of weird shapes from oblong to flat discs or with spikes coming out -- show it behaves differently than spherical hail shapes. Data from the hail library could lead to more accurate storm forecasts.

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On May 11, a gorgeous aurora surprised stargazers across the southern United States. That same weekend, a tractor guided by GPS missed its mark. What do the visibility of the northern lights have in common with compromised farming equipment in the Midwest? A uniquely powerful geomagnetic storm, according to new research.

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A zinc-air microbattery could enable the deployment of cell-sized, autonomous robots for drug delivery within in the human body, as well as other applications such as locating leaks in gas pipelines.

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A new algorithm may make robots safer by making them more aware of human inattentiveness. In computerized simulations of packaging and assembly lines where humans and robots work together, the algorithm developed to account for human carelessness improved safety by about a maximum of 80% and efficiency by about a maximum of 38% compared to existing methods.

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An analysis of 12 years of data collected from over 500 hospitals in 25 different states shows that weather, geographic location, and urban or rural location all appear to influence hospitalizations for waterborne infectious diseases.

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Changes in the Atlantic Ocean's mixed layer are the primary force behind the Atlantic Multidecadal Variability (AMV).

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Using nighttime lightdata from NASA, remote sensing, official outage records and census information, a study reveals notable differences in power-restoration rates between urbanized and rural areas and between disadvantaged and more affluent communities after Hurricane Michael in Florida's Panhandle. Block groups with higher proportions of minorities, multi-family housing units, rural locations, and households receiving public assistance experienced slower restoration of power compared to urban and more affluent neighborhoods.

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Unprecedented wildfires in Canada and parts of Amazonia last year were at least three times more likely due to climate change and contributed to high levels of CO2 emissions from burning globally, according to the a new systematic review. The State of Wildfires report takes stock of extreme wildfires of the 2023-2024 fire season (March 2023-February 2024), explains their causes, and assesses whether events could have been predicted. It also evaluates how the risk of similar events will change in future under different climate change scenarios.

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A recent study details how trees in New York City and Boston are more negatively impacted by heat waves and drought than trees of the same species in nearby rural forests. The finding highlights the challenges urban trees face in the context of climate change and underscores the importance of tailored urban forestry management as a tool for protecting tree species and reducing urban heat islands.

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The smaller carbon footprint, or wheel print, of automatic delivery robots can encourage consumers to use them when ordering food, according to a new study. The suitcase-sized, self-driving electric vehicles are much greener than many traditional food delivery methods because they have low, or even zero, carbon emissions. In this study, participants who had more environmental awareness and knowledge about carbon emissions were more likely to choose the robots as a delivery method. The green influence went away though when people perceived the robots as a high-risk choice -- meaning they worried that their food would be late, cold or otherwise spoiled before it arrived.