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Categories: Anthropology: General, Computer Science: Artificial Intelligence (AI)

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A new technique enables a human to efficiently fine-tune a robot that failed to complete a desired task with very little effort on the part of the human. Their system uses algorithms, counterfactual explanations, and feedback from the user to generate synthetic data it uses to quickly fine-tune the robot.

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This robot can swim under the sand and dig itself out too, thanks to two front limbs that mimic the oversized flippers of turtle hatchlings. It's the only robot that is able to travel in sand at a depth of 5 inches. It can also travel at a speed of 1.2 millimeters per second--roughly 4 meters, or 13 feet, per hour. This may seem slow but is comparable to other subterranean animals like worms and clams.

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Researchers have developed an automatic process for making soft sensors. These universal measurement cells can be attached to almost any kind of object. Applications are envisioned especially in robotics and prosthetics.

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Butterflies and moths share 'blocks' of DNA dating back more than 200 million years, new research shows.

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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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Researchers have discovered some of the largest early prehistoric stone tools in Britain.

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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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Researchers have identified the oldest decisive evidence of humans' close evolutionary relatives butchering and likely eating one another.

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The El Gigante rockshelter in western Honduras is among only a handful of archaeological sites in the Americas that contain well-preserved botanical remains spanning the last 11,000 years. Considered one of the most important archaeological sites discovered in Central America in the last 40 years, El Gigante was recently nominated as a UNESCO World Heritage site.

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According to a new study, eukaryotes -- complex life forms with nuclei in their cells, including all the world's plants, animals, insects and fungi -- trace their roots to a common Asgard archaean ancestor. That means eukaryotes are, in the parlance of evolutionary biologists, a 'well-nested clade' within Asgard archaea, similar to how birds are one of several groups within a larger group called dinosaurs, sharing a common ancestor.

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Fifteen years of archaeological work in the Tam Pa Ling cave in northeastern Laos has yielded a reliable chronology of early human occupation of the site. The team's excavations through the layers of sediments and bones that gradually washed into the cave and were left untouched for tens of thousands of years reveals that humans lived in the area for at least 70,000 years -- and likely even longer.

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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.