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Categories: Computer Science: General, Mathematics: Modeling

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The transformative changes brought by deep learning and artificial intelligence are accompanied by immense costs. For example, OpenAI's ChatGPT algorithm costs at least $100,000 every day to operate. This could be reduced with accelerators, or computer hardware designed to efficiently perform the specific operations of deep learning. However, such a device is only viable if it can be integrated with mainstream silicon-based computing hardware on the material level.

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A research team develops semiconductor devices for high-performance AI operations by applying IGZO materials widely used in OLED displays.

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Engineers are harnessing artificial intelligence (AI) and wireless technology to unobtrusively monitor elderly people in their living spaces and provide early detection of emerging health problems.

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Imagine a home computer operating 1 million times faster than the most expensive hardware on the market. Now, imagine that being the industry standard. Physicists hope to pave the way for that reality.

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Researchers have developed a breakthrough process for making spintronic devices that has the potential to create semiconductors chips with unmatched energy efficiency and storage for use in computers, smartphones, and many other electronics.

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Researchers have developed biosensor technology that will allow you to operate devices, such as robots and machines, solely through thought control.

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Researchers have devised a new concept of superconducting microwave low-noise amplifiers for use in radio wave detectors for radio astronomy observations, and successfully demonstrated a high-performance cooled amplifier with power consumption three orders of magnitude lower than that of conventional cooled semiconductor amplifiers. This result is expected to contribute to the realization of large-scale multi-element radio cameras and error-tolerant quantum computers, both of which require a large number of low-noise microwave amplifiers.

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Researchers created a system that enables makers to incorporate sensors directly into rotational mechanisms with only one pass in a 3D printer. This gives rotational mechanisms like gearboxes the ability to sense their angular position, rotation speed, and direction of rotation.

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Research using a quantum computer as the physical platform for quantum experiments has found a way to design and characterize tailor-made magnetic objects using quantum bits, or qubits. That opens up a new approach to develop new materials and robust quantum computing.

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In organic solar cells, carbon-based polymers convert light into charges that are passed to an acceptor. Scientists have now calculated how this happens by combining molecular dynamics simulations with quantum calculations and have provided theoretical insights to interpret experimental data.

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A researcher has solved a nearly 60-year-old game theory dilemma called the wall pursuit game, with implications for better reasoning about autonomous systems such as driver-less vehicles.

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Practical carbon capture technologies are still in the early stages of development, with the most promising involving a class of compounds called amines that can chemically bind with carbon dioxide. Researchers now deploy an algorithm to study amine reactions through quantum computing. An existing quantum computer cab run the algorithm to find useful amine compounds for carbon capture more quickly, analyzing larger molecules and more complex reactions than a traditional computer can.

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In a world experiencing growing inequality and intolerance, tools borrowed from science and mathematics could be the key to understanding and preventing prejudice. Experts apply evolutionary game theory, which combines techniques from economics and biology, and complex system analysis to investigate the relationship between inequality and intolerance. They found that inequality boosts intolerance and that redistribution of wealth can prevent its infectious spread.

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Most animals can quickly transition from walking to jumping to crawling to swimming if needed without reconfiguring or making major adjustments. Most robots cannot. But researchers have now created soft robots that can seamlessly shift from walking to swimming, for example, or crawling to rolling using a bistable actuator made of 3D-printed soft rubber containing shape-memory alloy springs that react to electrical currents by contracting, which causes the actuator to bend. The team used this bistable motion to change the actuator or robot's shape. Once the robot changes shape, it is stable until another electrical charge morphs it back to its previous configuration.

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Using a novel economic-epidemiological model, researchers examine the health and economic impacts that could have occurred if California took a 'business-as-usual' approach to the COVID-19 pandemic.

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One month after announcing a ferroelectric semiconductor at the nanoscale thinness required for modern computing components, a team has now demonstrated a reconfigurable transistor using that material. Their work paves the way for single amplifiers that can do the work of multiple conventional amplifiers, among other possibilities.

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A new method for predicting the behavior of quantum devices provides a crucial tool for real-world applications of quantum technology.

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Imagine for a moment, that we are on a safari watching a giraffe graze. After looking away for a second, we then see the animal lower its head and sit down. But, we wonder, what happened in the meantime? Computer scientists have found a way to encode an animal's pose and appearance in order to show the intermediate motions that are statistically likely to have taken place.

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Materials scientists describe in two papers how complex oxides can be used to create very energy-efficient magneto-electric spin-orbit (MESO) devices and memristive devices with reduced dimensions.

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Researchers have developed an algorithm that uses computer vision techniques to accurately measure trees almost five times faster than traditional, manual methods.