Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
Abstract: Motivated by depression's significant impact on global health, this work proposes MultiDepNet, a novel multi-modal interpretable depression detection system integrating visual, physiological ...
Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...
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Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...
Abstract: In this paper, we propose a hyperparameter-specialized adaptive fingerprinting framework named AdaParse for model reverse engineering, which aims at predicting hyperparameters of interest in ...
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