Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Abstract: This work presents an in-depth investigation into the preprocessing methods for aggregate queries in data sharing, with a focus on enhancing privacy preservation and efficiency within big ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Introduction: Accurate preprocessing of functional magnetic resonance imaging (fMRI) data is crucial for effective analysis in preclinical studies. Key steps such as denoising, skull-stripping, and ...

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Graduate School of Economics, The University of Osaka, Osaka, Japan. Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock ...

Here we present example workflows to perform a large scale untargeted metabolomics LC-MS/MS data preprocessing for molecular networking analysis using GNPS. The data set is described in Nothias, L.F.

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ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...