Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Dec 19 (Reuters) - Global data-center dealmaking surged to a record high through November this year, driven by an insatiable demand for computing infrastructure to meet the boom in artificial ...

LANSING, Mich. (WLNS) — The owners of a data center company from the United Kingdom met with residents Saturday morning to discuss their proposal to create a 24 megawatt data center in downtown ...

Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on single-modal encoding ...

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...

ABSTRACT: Health economic evaluations within surgical disciplines face considerable methodological hurdles, particularly in relation to cost-effectiveness analyses (CEA) and budget-impact modelling ...

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...

Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...