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Categories: Offbeat: Computers and Math, Physics: Quantum Computing

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The study takes a new approach to answer a long-standing mystery about insulator-to-metal transitions.

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The new carbon nanotube sensor design resembles a molecular toolbox that can be used to quickly assemble sensors for a variety of purposes -- for instance for detecting bacteria and viruses.

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Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers have analyzed how much a process called 'continual learning' impacts their overall performance.

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Scientists have demonstrated experimentally a long-theorized relationship between electron and nuclear motion in molecules, which could lead to the design of materials for solar cells, electronic displays and other applications that can make use of this powerful quantum phenomenon.

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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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Researchers have achieved a groundbreaking milestone in studying how vortices move in these quantum fluids. A new study of vortex ring motion in superfluid helium provides crucial evidence supporting a recently developed theoretical model of quantized vortices.

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Soft robotic grippers could greatly increase productivity in many fields. However, currently existing designs are overly complex and expensive. A research team has developed ROSE, a novel embracing soft gripper inspired by the blooming and closing of rose flowers. Bearing a surprisingly simple, inexpensive, and scalable design, ROSE can pick up many kinds of objects without damaging them, even in challenging environments and conditions.

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A new theoretical study provides a framework for understanding nonlocality, a feature that quantum networks must possess to perform operations inaccessible to standard communications technology. By clarifying the concept, researchers determined the conditions necessary to create systems with strong, quantum correlations.

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The future of electronics will be based on novel kinds of materials. Sometimes, however, the naturally occurring topology of atoms makes it difficult for new physical effects to be created. To tackle this problem, researchers have now successfully designed superconductors one atom at a time, creating new states of matter.

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One of the most basic assumptions of fundamental physics is that the different properties of mass -- weight, inertia and gravitation -- always remain the same in relation to each other. Although all measurements to date confirm the equivalence principle, quantum theory postulates that there should be a violation. This inconsistency between Einstein's gravitational theory and modern quantum theory is the reason why ever more precise tests of the equivalence principle are particularly important. A team has now succeeded in proving with 100 times greater accuracy that passive and active gravitational mass are always equivalent -- regardless of the particular composition of the respective masses.

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Why do some people take part in genetic studies while others do not? The answer may lie within our genetic makeup. According to a groundbreaking study, people who participate in genetic studies are genetically more likely to do so, leaving detectable 'footprints' in genetics data. This breakthrough equips researchers with the ability to identify and address participation bias, a significant challenge in genetic research.

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Routing signals and isolating them against noise and back-reflections are essential in many practical situations in classical communication as well as in quantum processing. In a theory-experimental collaboration, a team has achieved unidirectional transport of signals in pairs of 'one-way streets'. This research opens up new possibilities for more flexible signaling devices.

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For the first time, a person with an arm amputation can manipulate each finger of a bionic hand as if it was his own. Thanks to revolutionary surgical and engineering advancements that seamlessly merge humans with machines, this breakthrough offers new hope and possibilities for people with amputations worldwide. A study presents the first documented case of an individual whose body was surgically modified to incorporate implanted sensors and a skeletal implant. A.I. algorithms then translated the user's intentions into movement of the prosthesis.

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The same AI technology used to mimic human art can now synthesize artificial scientific data, advancing efforts toward fully automated data analysis.

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Nothing exists in a vacuum, but physicists often wish this weren't the case. If the systems that scientists study could be completely isolated from the outside world, things would be a lot easier. Take quantum computing. It's a field that's already drawing billions of dollars in support from tech investors and industry heavyweights including IBM, Google and Microsoft. But if the tiniest vibrations creep in from the outside world, they can cause a quantum system to lose information.

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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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A 'biological camera' bypasses the constraints of current DNA storage methods, harnessing living cells and their inherent biological mechanisms to encode and store data. This represents a significant breakthrough in encoding and storing images directly within DNA, creating a new model for information storage reminiscent of a digital camera. Led by Principal Investigator Associate Professor Chueh Loo Poh from the College of Design and Engineering at the National University of Singapore, and the NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), the team's findings, which could potentially shake up the data-storage industry, were published in Nature Communications on 3 July 2023.

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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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A team conducted an in-depth investigation of the magnetism of TbMn6Sn6, a Kagome layered topological magnet. They were surprised to find that the magnetic spin reorientation in TbMn6Sn6 occurs by generating increasing numbers of magnetically isotropic ions as the temperature increases.