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Categories: Computer Science: Artificial Intelligence (AI), Engineering: Nanotechnology

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Researchers experimentally investigate the impact of introducing high-density calcium on the superconductivity of calcium-intercalated bilayer graphene.

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Scientists have taken a step closer to replicating nature's processes of self-assembly. The study describes the synthetic construction of a tiny, self-assembled crystal known as a 'pyrochlore,' which bears unique optical properties. The advance provides a steppingstone to the eventual construction of sophisticated, self-assembling devices at the nanoscale -- roughly the size of a single virus.

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Using more robots to close labor gaps in the hospitality industry may backfire and cause more human workers to quit, according to a new study. The study, involving more than 620 lodging and food service employees, found that 'robot-phobia' -- specifically the fear that robots and technology will take human jobs -- increased workers' job insecurity and stress, leading to greater intentions to leave their jobs. The impact was more pronounced with employees who had real experience working with robotic technology. It also affected managers in addition to frontline workers.

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We are living in a world surrounded by liquid and flow, and understanding the principles that govern its movement is vital in our high-tech world. Through mathematical modeling and experimentation, researchers have expanded on Tanner's Law -- a law in fluid dynamics that describes how non-volatile liquids move across surfaces -- to cover a wider range of volatile liquids. These findings have the potential to play a role in various liquid-based industries such as electronics cooling.

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Two-dimensional materials such as graphene promise to form the basis of incredibly small and fast technologies, but this requires a detailed understanding of their electronic properties. New research demonstrates that fast electronic processes can be probed by irradiating the materials with ions first.

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Using DNA origami, researchers have built a diamond lattice with a periodicity of hundreds of nanometers -- a new approach for manufacturing semiconductors for visible light.

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Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.

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Sarcasm is notoriously tricky to convey through text, and the subtle changes in tone that convey sarcasm often confuse computer algorithms as well, limiting virtual assistants and content analysis tools. So researchers have now developed a multimodal algorithm for improved sarcasm detection that examines multiple aspects of audio recordings for increased accuracy. They used two complementary approaches -- sentiment analysis using text and emotion recognition using audio -- for a more complete picture.

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What features does a robotic guide dog need? Ask the blind, say researchers. A new study identifies how to develop robot guide dogs with insights from guide dog users and trainers.

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A team of researchers has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and energy compared to current deep neural networks running on GPUs (graphic chips). Neuromorphic processors are therefore very suitable for small drones because they don't need heavy and large hardware and batteries. The results are extraordinary: during flight the drone's deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU. Further developments of this technology may enable the leap for drones to become as small, agile, and smart as flying insects or birds.

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New modelling reveals that low-carbon concrete can recycle double the amount of coal ash compared to current standards, halve the amount of cement required and perform exceptionally well over time.

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Research could pave the way for a prosthetic hand and robot to be able to feel touch like a human hand. The technology could also be used to help restore lost functionality to patients after a stroke.

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Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, which could make these cameras viable for a multitude of imaging tasks including intricate microscopy applications and mobile devices.

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A new system could enable simple, low-cost detectors for monitoring water for lead contamination, and potentially other heavy metals as well.

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Would you trust a robot to look after your cat? New research suggests it takes more than a carefully designed robot to care for your cat, the environment in which they operate is also vital, as well as human interaction.

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Actually, sometimes consumers don't want to talk to a real person when they're shopping online, a new study suggests. In fact, what they really want is a chatbot that makes it clear that it is not human at all. In a new study, researchers found that people preferred interacting with chatbots when they felt embarrassed about what they were buying online -- items like antidiarrheal medicine or, for some people, skin care products.

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Researchers have taken a key step toward closing the silver nanoparticles knowledge gap with a study that indicates the particles' shape and surface chemistry play key roles in how they affect aquatic ecosystems.

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A research team has demonstrated that an iron-based amorphous alloy, widely used as a soft magnetic material in transformers and motors, can be transformed into a 'transverse' thermoelectric conversion material that converts electric and thermal currents in orthogonal directions, with just a short period of heat treatment. This is the first example that highlights the importance of microstructure engineering in the development of transverse thermoelectric conversion materials, and provides new design guidelines for materials development to realize environmentally friendly power generation and thermal management technologies using magnetic materials.

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A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers also built a simulator that can evaluate control algorithms for shape-shifting soft robots.

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Researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.