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Categories: Computer Science: General, Physics: General

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Psychologists are using EEG to research what games reveal about our ability to cooperate.

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Quantum scientists have discovered a rare phenomenon that could hold the key to creating a 'perfect switch' in quantum devices which flips between being an insulator and superconductor.

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Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations. Scientists have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios. These solutions bring us a big step closer to solving the century-old riddle of how cells and tissues attain their shape and to designing artificial biological machines.

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A novel technology to manage demands on mobile networks from multiple users using Terahertz frequencies has been developed by computer scientists.

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In 1973, physicist Phil Anderson hypothesized that the quantum spin liquid, or QSL, state existed on some triangular lattices, but he lacked the tools to delve deeper. Fifty years later, a team has confirmed the presence of QSL behavior in a new material with this structure, KYbSe2.  

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An open source code library for brain-inspired deep learning, called 'snnTorch,' has surpassed 100,000 downloads and is used in a wide variety of projects. A new paper details the code and offers a perspective on the future of the field.

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A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion should enable more confident application of neural networks in high-stakes decision scenarios or image prediction tasks like healthcare and research.

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A team of researchers looked back at a model that predicted nuclear power would expand dramatically in order to assess the efficacy of energy policies implemented today.

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A team of researchers has developed a computer program that creates realistic videos that reflect the facial expressions and head movements of the person speaking, only requiring an audio clip and a face photo.   DIverse yet Realistic Facial Animations, or DIRFA, is an artificial intelligence-based program that takes audio and a photo and produces a 3D video showing the person demonstrating realistic and consistent facial animations synchronised with the spoken audio (see videos).

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Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands. Many stroke survivors rely on their stronger arm to complete daily tasks, from carrying groceries to combing their hair, even when the weaker arm has the potential to improve.

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A research team has now directly measured the so-called Kondo effect, which governs the behavior of magnetic atoms surrounded by a sea of electrons: New observations with a scanning tunneling microscope reveal the effect in one-dimensional wires floating on graphene. 

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Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing process in real time. This enables the use of a wide range of materials for fabrication.

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An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using low-powered 'edge' computing, with broad applications across industry, science and medicine.

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Distributed cloud storage is a hot topic for security researchers, and a team is now merging quantum physics with mature cryptography and storage techniques to achieve a cost-effective cloud storage solution.

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Absolutely empty -- that is how most of us envision the vacuum. Yet, in reality, it is filled with an energetic flickering: the quantum fluctuations. Experts are currently preparing a laser experiment intended to verify these vacuum fluctuations in a novel way, which could potentially provide clues to new laws in physics. A research team has developed a series of proposals designed to help conduct the experiment more effectively -- thus increasing the chances of success.

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Researchers have shown that a previously demonstrated ability to turn on superconductivity with a laser beam can be integrated on a chip, opening up a route toward opto-electronic applications.

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Researchers used chiral (twisted) magnets as their computational medium and found that, by applying an external magnetic field and changing temperature, the physical properties of these materials could be adapted to suit different machine-learning tasks.

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Deep within every piece of magnetic material, electrons dance to the invisible tune of quantum mechanics. Their spins, akin to tiny atomic tops, dictate the magnetic behavior of the material they inhabit. This microscopic ballet is the cornerstone of magnetic phenomena, and it's these spins that a team of researchers has learned to control with remarkable precision, potentially redefining the future of electronics and data storage.

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Scientists have redefined the state-of-the-art in modeling and predicting the free energy of crystals. Their work shows that crystal form stability under real-world temperature and humidity conditions can be reliably and affordably predicted through computer simulation.

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Researchers turned a paramagnetic material into a magnet by manipulating electrons' spin via atomic motion.