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Categories: Ecology: Trees, Mathematics: Modeling
Published New method improves efficiency of 'vision transformer' AI systems
(via sciencedaily.com) Original source Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT's ability to identify, classify and segment objects in images.
Published Study leads to milestone advances in understanding lethal bronzing of palm trees
(via sciencedaily.com) Original source Scientists have identified a key chemical associated with lethal bronzing (LB) infected palm trees. LB is a bacterial disease that kills more than 20 species of palm trees in the Southern United States and Caribbean and has been devastating the Florida green industries for nearly two decades.
Published Using AI, scientists find a drug that could combat drug-resistant infections
(via sciencedaily.com) Original source Using AI, researchers identified a new antibiotic that can kill Acinetobacter baumannii, a type of bacteria that is responsible for many drug-resistant infections.
Published Scientists propose revolution in complex systems modelling with quantum technologies
(via sciencedaily.com) Original source Scientists have made a significant advancement with quantum technologies that could transform complex systems modelling with an accurate and effective approach that requires significantly re-duced memory.
Published New method predicts extreme events more accurately
(via sciencedaily.com) Original source A new study has used global storm-resolving simulations and machine learning to create an algorithm that can deal separately with two different scales of cloud organization: those resolved by a climate model, and those that cannot be resolved as they are too small. This new approach addresses the missing piece of information in traditional climate model parameterizations and provides a way to predict precipitation intensity and variability more precisely.
Published How a drought affects trees depends on what's been holding them back
(via sciencedaily.com) Original source Droughts can be good for trees. Certain trees, that is. Contrary to expectation, sometimes a record-breaking drought can increase tree growth. Why and where this happens is the subject of a new article.
Published A better way to study ocean currents
(via sciencedaily.com) Original source Computer scientists and oceanographers developed a machine-learning model that generates more accurate predictions about the velocities of ocean currents. The model could help make more precise weather forecasts or effectively predict how oil will spread after a spill.
Published Curved spacetime in a quantum simulator
(via sciencedaily.com) Original source The connection between quantum physics and the theory of relativity is extremely hard to study. But now, scientists have set up a model system, which can help: Quantum particles can be tuned in such a way that the results can be translated into information about other systems, which are much harder to observe. This kind of 'quantum simulator' works very well and can lead to new insights about the nature of relativity and quantum physics.
Published Preserving pine forests by understanding beetle flight
(via sciencedaily.com) Original source Researchers study the flight performance of the mountain pine beetle from a fluid mechanics and an entomological perspective. Understanding these aspects of the insect's flight could improve estimates of its spread through the environment and preserve pine forests. To examine insect flight, the team employed a type of model previously used for idealized airfoils. They showed that it can be successfully applied to multiple individual animals across biological sex, insect age, and body size. In doing so, the model can predict how these factors impact flight characteristics.
Published Beetles and their biodiversity in dead wood
(via sciencedaily.com) Original source Which energy type promotes the biodiversity of beetles living in dead wood in the forest? That depends entirely on where the beetles are in the food chain.
Published Exploring the underground connections between trees
(via sciencedaily.com) Original source Fungal networks interconnecting trees in a forest is a key factor that determines the nature of forests and their response to climate change. These networks have also been viewed as a means for trees to help their offspring and other tree-friends, according to the increasingly popular 'mother-tree hypothesis'. An international group of researchers re-examined the evidence for and against this hypothesis in a new study.
Published Extracting the best flavor from coffee
(via sciencedaily.com) Original source Researchers explore the role of uneven coffee extraction using a simple mathematical model. They split the coffee into two regions to examine whether uneven flow does in fact make weaker espresso. One of the regions in the model system hosted more tightly packed coffee than the other, which caused an initial disparity in flow resistance. The extraction of coffee decreased the flow resistance further. Understanding the origin of uneven extraction and avoiding or preventing it could enable better brews and substantial financial savings by using coffee more efficiently.
Published Mushrooms and their post-rain, electrical conversations
(via sciencedaily.com) Original source Certain types of fungi can communicate with each other via electrical signals. But much remains unknown about how and when they do so. A group of researchers recently headed to the forest to measure the electrical signals of Laccaria bicolor mushrooms, finding that their electrical signals increased following rainfall.
Published Structured exploration allows biological brains to learn faster than AI
(via sciencedaily.com) Original source Neuroscientists have uncovered how exploratory actions enable animals to learn their spatial environment more efficiently. Their findings could help build better AI agents that can learn faster and require less experience.
Published Unraveling the mathematics behind wiggly worm knots
(via sciencedaily.com) Original source Researchers wanted to understand precisely how blackworms execute tangling and ultrafast untangling movements for a myriad of biological functions. They researched the topology of the tangles. Their research could inform the design of fiber-like, shapeshifting robotics that self-assemble and move in ways that are fast and reversible.
Published Ant mounds are more important for biodiversity than previously thought
(via sciencedaily.com) Original source The ant mounds on the heath, in the forest and in your garden are oases for life. The heat and nutrients from ant mounds make them the perfect home for unique plant and animal species, according to new research.
Published How the Amazon rainforest is likely to cope with the effect of future drought
(via sciencedaily.com) Original source A major collaboration involving 80 scientists from Europe and South America has identified the regions of the Amazon rainforest where trees are most likely to face the greatest risk from drier conditions brought about by climate change. Based on the analysis, the scientists predict trees in the western and southern Amazon face the greatest risk of dying. They also warn that previous scientific investigations may have underestimated the impact of drought on the rainforest because those studies focused on the central-eastern part of the forest, which is the least vulnerable to drought.
Published Creating a tsunami early warning system using artificial intelligence
(via sciencedaily.com) Original source Researchers develop an early warning system that combines acoustic technology with AI to immediately classify earthquakes and determine potential tsunami risk. They propose using underwater microphones, called hydrophones, to measure the acoustic radiation produced by the earthquake, which carries information about the tectonic event and travels significantly faster than tsunami waves. The computational model triangulates the source of the earthquake and AI algorithms classify its slip type and magnitude. It then calculates important properties like effective length and width, uplift speed, and duration, which dictate the size of the tsunami.
Published Scientists have full state of a quantum liquid down cold
(via sciencedaily.com) Original source A team of physicists has illuminated certain properties of quantum systems by observing how their fluctuations spread over time. The research offers an intricate understanding of a complex phenomenon that is foundational to quantum computing.
Published Researchers use AI to discover new planet outside solar system
(via sciencedaily.com) Original source A research team has confirmed evidence of a previously unknown planet outside of our solar system, and they used machine learning tools to detect it. A recent study by the team showed that machine learning can correctly determine if an exoplanet is present by looking in protoplanetary disks, the gas around newly formed stars. The newly published findings represent a first step toward using machine learning to identify previously overlooked exoplanets.