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Categories: Computer Science: General, Engineering: Robotics Research

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Quantum physicists have shown that it's possible to control and manipulate spin waves on a chip using superconductors for the first time. These tiny waves in magnets may offer an alternative to electronics in the future, interesting for energy-efficient information technology or connecting pieces in a quantum computer, for example. The breakthrough primarily gives physicists new insight into the interaction between magnets and superconductors.

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Researchers report a significant advance in quantum computing. They have prolonged the coherence time of their single-electron qubit to an impressive 0.1 milliseconds, nearly a thousand-fold improvement.

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A computer scientist has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. The researcher applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.

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Smart, stretchable and highly sensitive, a new soft sensor opens the door to a wide range of applications in robotics and prosthetics. When applied to the surface of a prosthetic arm or a robotic limb, the sensor skin provides touch sensitivity and dexterity, enabling tasks that can be difficult for machines such as picking up a piece of soft fruit. The sensor is also soft to the touch, like human skin, which helps make human interactions safer and more lifelike. 

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Researchers demonstrate a nanopore-based technique that can detect different variants of SARS-CoV-2, the virus that causes COVID-19. The method was very effective in detecting the Omicron variant of the virus in the saliva of people with COVID-19.

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Smart glasses that use a technique similar to a bat's echolocation could help blind and low-vision people navigate their surroundings, according to researchers. 

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A new smartphone attachment could enable people to screen for a variety of neurological conditions, such as Alzheimer's disease and traumatic brain injury, at low cost -- and do so accurately regardless of their skin tone. The attachment fits over a smartphone's camera to capture clear video of pupil size changes, which can offer clues about an individual's neurological functions. The device helps the camera see the pupil easily in dark eye colors. 

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A team of researchers has created smart, advanced materials that will be the building blocks for a future generation of soft medical microrobots. These tiny robots have the potential to conduct medical procedures, such as biopsy, and cell and tissue transport, in a minimally invasive fashion.

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Physicists working with computer specialists have developed a so-called event-based architecture, using photonic processors. In a similar way to the brain, this makes possible the continuous adaptation of the connections within the neural network.

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A 2000-year-old practice by Chinese herbalists -- examining the human tongue for signs of disease -- is now being embraced by computer scientists using machine learning and artificial intelligence.

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An international team of scientists has recently developed a novel type of nano engine made of DNA. It is driven by a clever mechanism and can perform pulsing movements. The researchers are now planning to fit it with a coupling and install it as a drive in complex nano machines.

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Proteins are important molecules that perform a variety of functions essential to life. To function properly, many proteins must fold into specific structures. However, the way proteins fold into specific structures is still largely unknown. Researchers have developed a novel physical theory that can accurately predict how proteins fold. Their model can predict things previous models cannot. Improved knowledge of protein folding could offer huge benefits to medical research, as well as to various industrial processes.

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A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode data, enabling multiple calculations to be carried out in parallel. The method shows promise for outperforming state-of-the-art electronic processors, with further enhancements possible.

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Robotic prosthetic ankles that are controlled by nerve impulses allow amputees to move more 'naturally,' improving their stability, according to a new study.

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Taking inspiration from music streaming services, a team of engineers has designed the simplest way for users to program their own exoskeleton assistance settings.

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Colder is not always better for energy-hungry data centers, especially when it comes to their power bills. A new analysis says that keeping the centers at 41°C, or around 105°F, could save up to 56% in cooling costs worldwide. The study proposes new temperature guidelines that may help develop and manage more efficient data centers and IT servers in the future.

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Forensic fibers can survive underwater for much longer than previously thought -- which could help criminal investigators uncover vital evidence. New research has found that fiber evidence can survive on fabrics underwater for several weeks.

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In a new breakthrough, researchers have used a novel technique to confirm a previously undetected physics phenomenon that could be used to improve data storage in the next generation of computer devices.   

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Quantum computers promise to reach speeds and efficiencies impossible for even the fastest supercomputers of today. Yet the technology hasn't seen much scale-up and commercialization largely due to its inability to self-correct. Quantum computers, unlike classical ones, cannot correct errors by copying encoded data over and over. Scientists had to find another way. Now, a new paper illustrates a quantum computing platform's potential to solve the longstanding problem known as quantum error correction.

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Researchers have designed an algorithm that can intercept a man-in-the-middle (MitM) cyberattack on an unmanned military robot and shut it down in seconds. The algorithm, tested in real time, achieved a 99% success rate.