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Categories: Ecology: Trees, Engineering: Robotics Research

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Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.

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A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.

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The Fens of eastern England, a low-lying, extremely flat landscape dominated by agricultural fields, was once a vast woodland filled with huge yew trees, according to new research. Scientists have studied hundreds of tree trunks, dug up by Fenland farmers while ploughing their fields. The team found that most of the ancient wood came from yew trees that populated the area between four and five thousand years ago.

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Researchers taught an autonomous excavator to construct dry stone walls itself using boulders weighing several tons and demolition debris.

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Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required. Researchers have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells: Assisted by Machine Learning and new methods in Artificial Intelligence (AI), it is possible assess their quality from variations in light emission already in the manufacturing process.

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LUCA, the 'last universal common ancestor' of all living organisms, lived 4.32 to at most 4.52 billion years ago. What LUCA looked like is unknown, but it must have been a cell with among others ribosomal proteins and an ATP synthase.

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Forest modeling shows that a site's productivity -- an indicator of how fast trees grow and how much biomass they accumulate -- is the main factor that determines which time period between timber harvests allows for maximum above-ground carbon sequestration.

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Using 700 years' worth of wave data from more than a billion waves, scientists have used artificial intelligence to find a formula for how to predict the occurrence of these maritime monsters. Long considered myth, freakishly large rogue waves are very real and can split apart ships and even damage oil rigs.

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A novel technology to manage demands on mobile networks from multiple users using Terahertz frequencies has been developed by computer scientists.

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Engineers investigating the load-bearing capacity of conical shells, made from soft materials, have discovered performance-limiting weaknesses that could have implications for soft robotics -- affecting the ability of morphing cones to perform fundamental mechanical tasks.

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Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands. Many stroke survivors rely on their stronger arm to complete daily tasks, from carrying groceries to combing their hair, even when the weaker arm has the potential to improve.

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For the first time, researchers have succeeded in printing a robotic hand with bones, ligaments and tendons made of different polymers using a new laser scanning technique. The new technology makes it possible to 3D print special plastics with elastic qualities in one go. This opens up completely new possibilities for the production of soft robotic structures.

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Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing process in real time. This enables the use of a wide range of materials for fabrication.

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18 percent of reported sick leave relates to musculoskeletal ailments, in particular back-related disorders. The GyroTrainer is an intelligent training device that resembles a balance board. It uses artificial intelligence to adjust the difficulty level to the individual patient's current ability.

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New study estimates that natural forest recovery could capture approximately 226 Gigatonnes (Gt) of carbon, but only if we also reduce greenhouse gas emissions. Achieving these results requires community-driven efforts to conserve and restore biodiversity. In brief: Forests have the potential to capture 226 Gigatonnes (Gt) of carbon in areas where they would naturally exist. This forest potential can only be achieved alongside emissions cuts. Sixty-one percent of the forest potential can be achieved by protecting existing forests and allowing them to regrow to maturity. Thirty-nine percent can be achieved by reconnecting fragmented landscapes through community-driven ecosystem restoration and management. A natural diversity of species is needed to maximize the forest carbon potential.

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Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.

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A research team used 125 physical markers to understand the detailed mechanics of 44 different human facial motions. The aim was to better understand how to convey emotions with artificial faces. Beyond helping with the design of robots and androids, this research can also benefit computer graphics, facial recognition, and medical diagnoses.

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Experts predict 'catastrophic ecosystem collapse' of UK forests within the next 50 years if action not taken. Other threats to UK forests include competition with society for water, viral diseases, and extreme weather affecting forest management.

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Under the ocean's surface, marine organisms are constantly releasing invisible molecules. Some of the chemical clues reveal which creatures are nearby, while others could be used someday as medications. Now, researchers report a proof-of-concept device that 'sniffs' seawater, trapping dissolved compounds for analyses. The team showed that the system could easily concentrate molecules that are present in underwater caves and holds promise for drug discovery in fragile ecosystems, including coral reefs.

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Researchers are creating a database that harmonizes the recording of disturbances caused by insects and diseases in forests in 8 European countries by combining remote sensing, satellite images and field data.