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Categories: Computer Science: General, Engineering: Nanotechnology

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

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Scientists have pioneered a novel approach to develop intelligent healthcare sensors using various gold nanowires.  

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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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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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Protein cages found in nature within microbes help weather its contents from the harsh intracellular environment -- an observation with many bioengineering applications. Researchers recently developed an innovative bioengineering approach using genetically modified bacteria; these bacteria can incorporate protein cages around protein crystals. This in-cell biosynthesis method efficiently produces highly customized protein complexes, which could find applications as advanced solid catalysts and functionalized nanomaterials.

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Pancreatic cancer is one of the deadliest types of cancers in humans. It is the fourth leading cause of cancer-related deaths in the western world. The early stages of the disease often progress without symptoms, so diagnosis is usually very late.

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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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Sodium- and potassium-ion batteries are promising next-generation alternatives to the ubiquitous lithium-ion batteries (LIBs). However, their energy density still lags behind that of LIBs. To tackle this issue, researchers explored an innovative strategy to turn hard carbon into an excellent negative electrode material. Using inorganic zinc-based compounds as a template during synthesis, they prepared nanostructured hard carbon, which exhibits excellent performance in both alternative batteries.       

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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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Scientists used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.

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Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.

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A research team used 125 physical markers to understand the detailed mechanics of 44 different human facial motions. The aim was to better understand how to convey emotions with artificial faces. Beyond helping with the design of robots and androids, this research can also benefit computer graphics, facial recognition, and medical diagnoses.

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Rubber-like materials can exhibit both spring-like and flow-like behaviors simultaneously, which contributes to their exceptional damping abilities. To understand the dynamic viscoelasticity of these materials, researchers have recently developed a novel system that can conduct dynamic mechanical analysis and dynamic micro X-ray computed tomography simultaneously. This technology can enhance our understanding of the microstructure of viscoelastic materials and pave the way for the development of better materials.

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A research team has developed a high-performance coating material that self-assembles from 2D nanosheets, and which could significantly extend the shelf life of electronics, energy storage devices, health & safety products, and more. The researchers are the first to successfully scale up nanomaterial synthesis into useful materials for manufacturing and commercial applications.