Researchers have been trying to develop more energy-efficient and faster machine learning systems that can replicate the versatile computational abilities of biological neurons for decades. One promising approach has been the use of memristors – electronic components that can store a value by modifying their conductance and then use that value for in-memory processing. However,
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Volcanic eruptions can have severe global impacts, but accurately measuring the size of such eruptions can be challenging. To classify the size of volcanic eruptions, volcanologists estimate the magma volume and deposition volume. However, it is often difficult to determine these values accurately, making it challenging to infer the actual volume of magma and measure
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The production of medication requires the isolation of active pharmaceutical ingredients from suspensions and drying them. This process relies on a human operator to monitor the industrial dryer, agitate the material, and observe the compound’s properties to ensure it is suitable for compression into medicine. However, this process is subjective and depends heavily on the
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Factorizing large numbers is a difficult task that requires a significant amount of computational effort. However, physicists at the University of Innsbruck, Austria, have created a new blueprint for a quantum computer that can solve the factorization problem. This is a significant development as factorization is a cornerstone of modern cryptography. Current Computing Methods Today’s
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Proteins play a vital role in carrying out various biological functions through interactions, such as the formation of protein complexes. The localization and microenvironments within cells are crucial for maintaining the structure and function of these complexes. Chemical cross-linking mass spectrometry (CXMS) is a technique used for analyzing protein complexes in living cells. However, it
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Experts at the University of Oxford and international collaborators have released a new study in Nature Machine Intelligence that addresses the ethical concerns related to the responsibility for outputs generated by large language models (LLMs). LLMs such as ChatGPT pose critical issues regarding the attribution of credit and rights for useful text generation, which differs
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