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Categories: Computer Science: General, Engineering: Nanotechnology

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Using computer-assisted neural networks, researchers have been able to accurately identify affective states from the body language of tennis players during games. For the first time, they trained a model based on artificial intelligence (AI) with data from actual games. Their study demonstrates that AI can assess body language and emotions with accuracy similar to that of humans. However, it also points to ethical concerns.

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Understanding organismal traits and learning how they evolve and adapt to different environments is crucial for biologists and the battle against biodiversity loss. To be truly efficient, however, the researchers need to use huge amounts of data, including physical traits and DNA. Furthermore, those different data types need to be accurately linked to each other, so that computers and next-age AI technology can correctly process it. Currently, this process of accurate linking is extremely difficult and largely inefficient. To solve this problem, researchers created a brand new computer language called Phenoscript.

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Current techniques for measuring nano/microplastic (N/MP) concentrations in soil require the soil organic matter content to be separated and have limited resolution for analyzing N/MPs sized <1 m. Therefore, researchers have developed a novel yet simple method to measure N/MP concentration in different soil types using spectroscopy at two wavelengths. This method does not require the soil to be separated in order to detect the N/MPs and can accurately quantify N/MPs regardless of their size.

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A gold-coated milling vessel for ball mills proved to be a real marvel: without any solvents or environmentally harmful chemicals, the team was able to use it to convert alcohols into aldehydes. The catalytic reaction takes place at the gold surface and is mechanically driven. The vessel can be reused multiple times. 'This opens up new prospects for the use of gold in catalysis and shows how traditional materials can contribute to solving modern environmental problems in an innovative way,' says Borchardt.

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Researchers developed software that can simulate the growth of field crops. To do this, they fed thousands of photos from field experiments into a learning algorithm. This enabled the algorithm to learn how to visualize the future development of cultivated plants based on a single initial image. Using the images created during this process, parameters such as leaf area or yield can be estimated accurately.

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Researchers have developed a new nanomedicine therapy that delivers anticancer drugs to lung cancer cells and enhances the immune system's ability to fight cancer. The team showed promising results for the new therapy in cancer cells in the lab and in mouse lung tumor models, with potential applications for improving care and outcomes for patients with tumors that have failed to respond to traditional immunotherapy.

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A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.

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Researchers have succeeded in developing a DNA-based molecular controller. Crucially, this controller enables the autonomous assembly and disassembly of molecular robots, as opposed to manually directing it.

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Researchers have made a significant breakthrough in how to enable and exploit ultra-fast spin behavior in ferromagnets. The research paves the way for ultra-high frequency applications.

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Researchers have developed a technique that allows artificial intelligence (AI) programs to better map three-dimensional spaces using two-dimensional images captured by multiple cameras. Because the technique works effectively with limited computational resources, it holds promise for improving the navigation of autonomous vehicles.

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Researchers have engineered nanosized cubes that spontaneously form a two-dimensional checkerboard pattern when dropped on the surface of water. The work presents a simple approach to create complex nanostructures through a technique called self-assembly.

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Engineers have developed microscopic robots, known as microrobots, capable of swimming through the lungs to deliver cancer-fighting medication directly to metastatic tumors. This approach has shown promise in mice, where it inhibited the growth and spread of tumors that had metastasized to the lungs, thereby boosting survival rates compared to control treatments.

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A team has developed printable, highly efficient light-emitting metasurfaces.

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To understand the unique physical phenomena associated with the properties of magnetic hedgehogs and antihedgehogs, which behave as virtual magnetic monopoles and antimonopoles respectively, it is essential to study their intrinsic excitations. In a new study, researchers revealed the dynamical nature of collective excitation modes in hedgehog lattices in itinerant chiral magnets. Their findings serve as the foundation for studying the dynamics of emergent magnetic monopoles in magnets.

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Scientists have developed an artificial intelligence (AI)-powered system to track tiny devices that monitor markers of disease in the gut. Devices using the novel system may help at-risk individuals monitor their gastrointestinal (GI) tract health at home, without the need for invasive tests in hospital settings.

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Researchers have demonstrated a new method that leverages artificial intelligence (AI) and computer simulations to train robotic exoskeletons to autonomously help users save energy while walking, running and climbing stairs.

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In the largest study yet of working-from-home professionals, economists reveal that employees who work from home two days a week are just as productive, likely to get promoted, and far less prone to quit.

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Today, researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.

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The need to transition away from fossil fuels to more sustainable energy production is critical. That's why a team of researchers is looking at a potential power source that not only produces no carbon emissions but removes carbon as it works: algae.

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Researchers have demonstrated a new method that could enable the large-scale manufacturing of optical qubits. The advance could bring us closer to a scalable quantum computer.