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Categories: Biology: Molecular, Computer Science: Artificial Intelligence (AI)

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Engineers are training legged robots for future lunar missions that will search for minerals and raw materials. To ensure that the robots can continue to work even if one of them malfunctions, the researchers are teaching them teamwork.

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Over the past several years, researchers have been developing soft analogues of traditionally rigid robotic components. In fluid-driven robotic systems, pumps control the pressure or flow of the liquid that powers the robot's movement. Most pumps available today for soft robotics are either too large and rigid to fit onboard, not powerful enough for actuation or only work with specific fluids. Researchers have now developed a compact, soft pump with adjustable pressure flow versatile enough to pump a variety of fluids with varying viscosity, including gin, juice, and coconut milk, and powerful enough to power soft haptic devices and a soft robotic finger.

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Mars rovers have teams of human experts on Earth telling them what to do. But robots on lander missions to moons orbiting Saturn or Jupiter are too far away to receive timely commands from Earth. Researchers developed a novel learning-based method so robots on extraterrestrial bodies can make decisions on their own about where and how to scoop up terrain samples.

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Researchers have made groundbreaking advancements in bionics with the development of a new electric variable-stiffness artificial muscle. This innovative technology possesses self-sensing capabilities and has the potential to revolutionize soft robotics and medical applications. The artificial muscle seamlessly transitions between soft and hard states, while also sensing forces and deformations. With flexibility and stretchability similar to natural muscle, it can be integrated into intricate soft robotic systems and adapt to various shapes. By adjusting voltages, the muscle rapidly changes its stiffness and can monitor its own deformation through resistance changes. The fabrication process is simple and reliable, making it ideal for a range of applications, including aiding individuals with disabilities or patients in rehabilitation training.

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Researchers show that computer programs commonly used to determine if a text was written by artificial intelligence tend to falsely label articles written by non-native language speakers as AI-generated. The researchers caution against the use of such AI text detectors for their unreliability, which could have negative impacts on individuals including students and those applying for jobs.

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Robots and artificial intelligence (AI) are expected to play a key role in nursing practice in the future. In this regard, researchers from Japan ask whether intelligent machines can replace humans as nurses. They investigate the potential of current advancements in robotics and AI to replicate the ethical concepts attributed to nurses, including advocacy, accountability, cooperation, and caring. While these technologies hold promise in enhancing healthcare practices, their integration into nursing requires careful consideration.

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Research reveals how millions of years of evolution has engineered honey bees to make fast decisions and reduce risk.

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Scientists show that even a few simple examples are enough for a quantum machine-learning model, the 'quantum neural networks', to learn and predict the behavior of quantum systems, bringing us closer to a new era of quantum computing.

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A new soft robotic glove is lending a 'hand' and providing hope to piano players who have suffered a disabling stroke or other neurotrauma. Combining flexible tactile sensors, soft actuators and AI, this robotic glove is the first to 'feel' the difference between correct and incorrect versions of the same song and to combine these features into a single hand exoskeleton. Unlike prior exoskeletons, this new technology provides precise force and guidance in recovering the fine finger movements required for piano playing and other complex tasks.

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Researchers have presented important first steps in building underwater navigation robots.

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A milliliter of blood contains about 15 individual drops. For a person with human immunodeficiency virus (HIV), each drop of blood could contain anywhere from fewer than 20 copies of the virus to more than 500,000 copies. Called the viral load, this is what is measured to allow clinicians to understand how patients are responding to anti-viral medications and monitor potential progression. The time-consuming viral load testing needs to be repeated several times as a patient undergoes treatment. Now, a research team has developed a time and cost-efficient digital assay that can directly measure the presence of HIV in single drop of blood.

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Just as space holds infinite mysteries, when we zoom in at the level of biomolecules (one trillion times smaller than a meter), there is still so much to learn. Scientists are studying the conformational landscapes of biomolecules and how they modulate cell function. When biomolecules receive certain inputs, it can cause the atoms to rearrange and the biomolecule to change shape. This change in shape affects their function in cells, so understanding conformational dynamics is critical for drug development.

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Researchers have deciphered a biochemical mechanism that ensures that newly formed proteins are processed correctly when they leave the cell's own protein factories. This solves a decade-old puzzle in protein sorting.

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An obscure aquatic plant has helped to explain how plants avoid cracking up under the stresses and strains of growth.

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The herpes simplex virus-1 can sometimes cause a dangerous brain infection. Combining an anti-inflammatory and an antiviral could help in these cases, report scientists.

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Engineers designed a technology to probe connections between the brain and the digestive tract. Using fibers embedded with a variety of sensors, as well as optogenetic stimulation, the researchers could control neural circuits connecting the gut and the brain, in mice.

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Scientists have built a new, comprehensive AutoML platform designed for biologists with little to no ML experience. New automated machine learning platform enables easy, all-in-one analysis, design, and interpretation of biological sequences with minimal coding. Their platform, called BioAutoMATED, can use sequences of nucleic acids, peptides, or glycans as input data, and its performance is comparable to other AutoML platforms while requiring minimal user input.

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DNA can mimic protein functions by folding into elaborate, three-dimensional structures, according to a new study.

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Researchers have outlined the structure and function of a protein complex which is required to repair damaged DNA and protect against cancer.

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Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.