Machine learning, a form of artificial intelligence, has been making waves in various industries. One recent breakthrough involves its application in earthquake prediction, as demonstrated by a team at Los Alamos National Laboratory. Through their research at the Kīlauea volcano in Hawaii, they have successfully used machine learning to detect hidden signals that precede earthquakes.
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In the realm of scientific research, collaborations between private entities and government agencies play a pivotal role in driving innovation. NASA’s Interagency Implementation and Advanced Concepts Team (IMPACT) has leveraged the power of partnerships through Space Act Agreements to propel scientific discovery forward. One such collaboration with International Business Machines (IBM) has manifested in the
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An exciting breakthrough has been achieved by a team of researchers in the development of anion exchange membranes (AEMs). This new membrane design incorporates highly connected sub-nanometer microporous ion channels, showing exceptional performance in flow battery applications. The team, led by Prof. Xu Tongwen and Ge Xiaolin from the University of Science and Technology of
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In a world where vision loss and visual impairment are significant concerns, there has been a groundbreaking invention by researchers from The Hong Kong Polytechnic University (PolyU) and The University of Waterloo. This device, utilizing Augmented Reality (AR) technology, aims to revolutionize navigation for visually impaired individuals, offering them a newfound sense of independence and
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The pursuit of accurately simulating quantum particles using a computer made up of quantum particles has been a long-standing goal for physicists. The recent collaboration between scientists at Forschungszentrum Jülich and colleagues from Slovenia has made significant progress in this area. By using a quantum annealer to model real-life quantum material, they have demonstrated the
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For years, the process of testing for asbestos in construction materials and air samples has relied heavily on transmission electron microscopy (TEM). However, recent research conducted by the National Institute of Standards and Technology (NIST) has suggested that scanning electron microscopy (SEM) may be a viable alternative to TEM for asbestos identification and classification. Asbestos,
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In the realm of electronics engineering and material science, researchers have long been on the quest to discover materials that can enhance the performance of electronic devices beyond the limitations imposed by silicon-based transistors. Two-dimensional (2D) semiconductors have emerged as promising candidates for the development of high-performance transistors due to their unique properties. These materials
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