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Categories: Computer Science: General, Mathematics: Puzzles

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A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.

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A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.

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Physicists are developing a method that could enable the stable exchange of information in quantum computers. In the leading role: photons that make quantum bits 'fly'.

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Researchers have developed a semiconductor chip that will enable ever-smaller devices to operate at the higher frequencies needed for future 6G communication technology.

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Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds.

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If you recently had trouble figuring out if an image of a person is real or generated through artificial intelligence (AI), you're not alone. A new study found that people had more difficulty than was expected distinguishing who is a real person and who is artificially generated.

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Researchers achieved the acceleration of adiabatic evolution of a single spin qubit in gate-defined quantum dots. After the pulse optimization to suppress quasistatic noises, the spin flip fidelity can be as high as 97.5% in GaAs quantum dots. This work may be useful to achieve fast and high-fidelity quantum computing.

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Sugars cover nearly all proteins present at the surface of the cells in our bodies, forming a shield around the proteins. Thus, these sugars influence how cells interact with their environment including pathogens, playing an important role in medical drug development. GlycoSHIELD, a new computational approach to study the sugar shields of proteins, is resource-reducing, time-efficient and user-friendly.

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An interdisciplinary team of experts has found a way to use artificial intelligence to analyze a household's passive design characteristics and predict its energy expenses with more than 74 percent accuracy. By combining their findings with demographic data including poverty levels, the researchers have created a comprehensive model for predicting energy burden across 1,402 census tracts and nearly 300,000 households in Chicago.

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Researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.

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Smarter crop farming that combats weeds, insect pests and plant diseases by integrating modern technologies like AI-based monitoring, robotics, and next-generation biotechnology with healthy and resilient agricultural ecosystems.

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Researchers used ultrathin van der Waals materials to create an electron magnet that can be switched at room temperature. This type of magnet could be used to build magnetic processors or memories that would consume far less energy than traditional devices made from silicon.

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Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning (ML), or digital signal processing units to process information.

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Using a single photograph, researchers created an algorithm that computes highly accurate, full-color three-dimensional reconstructions of areas behind obstacles -- a concept that can not only help prevent car crashes, but help law enforcement experts in hostage situations, search-and-rescue and strategic military efforts.

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Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.

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Despite significant progress in developing AI systems that can understand the physical world like humans do, researchers have struggled with modelling a certain aspect of our visual system: the perception of light.

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Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.

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Creating a quantum computer powerful enough to tackle problems we cannot solve with current computers remains a big challenge for quantum physicists. A well-functioning quantum simulator -- a specific type of quantum computer -- could lead to new discoveries about how the world works at the smallest scales. Quantum scientists have developed a guide on how to upgrade these machines so that they can simulate even more complex quantum systems.

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Throughout human history, technologies have been used to make peoples' lives richer and more comfortable, but they have also contributed to a global crisis threatening Earth's climate, ecosystems and even our own survival. Researchers have suggested that industrial civilization's best way forward may entail embracing further technological advancements but doing so with greater awareness of their potential drawbacks.

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Chips and datacentres -- the 'compute' power driving the AI revolution -- may be the most effective targets for risk-reducing AI policies as they have to be physically possessed, according to a new report.