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Categories: Biology: Botany, Engineering: Robotics Research

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Elephants, buffaloes and other heavy herbivores are effective against invasive plants. This is the conclusion of a new study that used Indian data, including data from the world's largest survey of wildlife based on camera traps. But smaller animals can do the same: you don't need elephants to get the same effect, the researchers point out.

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Tropical forests in South America lose their ability to absorb carbon from the atmosphere when conditions become exceptionally hot and dry, according to new research. For a long time, tropical forests have acted as a carbon sink, taking more carbon out of the air than they release into it, a process that has moderated the impact of climate change. But new research found that in 2015 -- 2016, when an El Niño climate event resulted in drought and the hottest temperatures ever recorded, South American forests were unable to function as a carbon sink.

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In 2012, when the spotted lanternfly (Lycorma delicatula) arrived in the U.S. from its home in China, scientists, land managers, and growers were understandably concerned that the sap-feeding insect would damage native and commercial trees. New long-term research has discovered that hardwood trees, such as maple, willow and birch, may be less vulnerable than initially thought.

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Flowering for some plants is a yearly occurrence, for others, it is a once-in-a-lifetime event. A widespread species of bamboo in Japan, Phyllostachys nigra var. henonis, takes this one-time flowering event and pushes it to the extreme: they flower once every 120 years before dying to make way for the next generation. Researchers have realized there might be another issue at hand with this monocarpic species, which is the lack of germination of the seeds from a majority of the flowering specimens. Implications of a once dense field of bamboo, something that serves both as a food source and a source of material for crafts, turning to grassland for several years until the regeneration of bamboo begins to start somehow, can impact the ecology of the area in addition to the country's economy.

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An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.

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The day when robots can cook dinner, clear the kitchen table and empty the dishwasher is still a long way off. First, robots need to be able to recognize the many items of different sizes, shapes and brands in our homes. A team has now made a significant advance toward that technology with a robotic system that uses artificial intelligence to help robots better identify and remember objects.

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Researchers generated large scale gene expression data to investigate the molecular networks that operate in one of the closest algal relatives of land plants, a humble single-celled alga called Mesotaenium endlicherianum.

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Research teams have detailed a pioneering breakthrough in medical device technology that could lead to intelligent, long-lasting, tailored treatment for patients, thanks to soft robotics and artificial intelligence.

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In a milestone for artificial intelligence (AI), the AI system 'Swift' has beaten the world champions in drone racing -- a result that seemed unattainable just a few years ago. The AI-piloted drone was trained in a simulated environment. Real-world applications include environmental monitoring or disaster response.

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New work could help forest managers predict which forests are most at risk from drought and which will survive.

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Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample.

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Even when humans see AI-based assistants purely as tools, they ascribe partial responsibility for decisions to them, as a new study shows.

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Imagine a robot that can wedge itself through the cracks in rubble to search for survivors trapped in the wreckage of a collapsed building. Engineers are working toward to that goal with CLARI, short for Compliant Legged Articulated Robotic Insect.

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A research team overcomes limitations of conventional strain sensors using computer vision integrated optical sensors.

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The global population of people older than 65 years of age is rapidly increasing the need for care. Although care robots are a promising solution to fill in for caregivers, their social implementation has been slow and unsatisfactory. A team of international researchers has now developed the first universal model that can be employed across cultural contexts to explain how ethical perceptions affect the willingness to use care robots.

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An international research team has described seven previously unknown species of leaf insects, also known as walking leaves. The insects belong to the stick and leaf insect order, which are known for their unusual appearance: they look confusingly similar to parts of plants such as twigs, bark or -- in the case of leaf insects -- leaves. This sophisticated camouflage provides excellent protection from predators as well as presenting a challenge to researchers. Genetic analysis enabled the researchers to discover 'cryptic species', which cannot be distinguished by their external appearance alone. The findings are not only important for the systematic study of leaf insects, but also for the protection of their diversity.

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Research has brought clarity to the longstanding question of how starch granules form in the seeds of Triticeae crops -- wheat, barley, and rye -- unlocking diverse potential benefits for numerous industries and for human health.

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A study on 'canopy soils' on old trees in Costa Rica shows they are important habitats and carbon stores that cannot easily be replaced.

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A new AI technique enables a robot to develop complex plans for manipulating an object using its entire hand, not just fingertips. This model can generate effective plans in about a minute using a standard laptop.

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A new analysis has identified the top factors accounting for yield variability in processing sweet corn (used for canned and frozen products), including one within the control of processors.