Think of artificial intelligence (AI) as a forensic magnifying glass... here is how it works. In the simplest terms, ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Abstract: The analysis of nodes interaction is crucial to evaluate the dynamics of complex networks, as well as the community structure of social networks. Particularly, the corresponding results can ...

Several law enforcement agencies have used or are currently using artificial intelligence to process data on how crime varies geographically, looking at trends to inform where they police. Beyond ...

Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated features that explain the most correlation ...

Objectives To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

The documents reveal how Google Search is using, or has used, clicks, links, content, entities, Chrome data and more for ranking. A trove of leaked Google documents has given us an unprecedented look ...