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-metallic clusters that combine plasmonic and catalytic metals These clusters will be deposited with high control over size and composition using cluster beam deposition on morphologically engineered TiO2
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explores how artificial intelligence can make industrial control systems safer and more efficient. It focuses on combining the reliability of classical control methods with the adaptability of RL. The goal
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nuclei RNA sequencing dataset from human brain tissue of patients and controls to perform expression and splicing transcriptome-wide association studies (TWAS). Combined, these studies will 1) identify key
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for computation. This is especially useful for distributed and federated AI, where the input of one node is often a function combining the output of many other nodes. AirComp offers a significant scalability and
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-driven approaches to health, society, and policy. BISI combines expertise in epidemiology, biostatistics, health economics, and machine learning to tackle complex societal challenges. BISI is actively