The study also dives into who uses chatbots and has smart home devices with AI features. It also explores what impact people ...

A vast amount of time series datasets are organized into structures with different levels or hierarchies of aggregation. Examples include cross-sectional aggregations such as categories, brands, or ...

In 2026, organizations are tackling the “semantic gap” in AI outputs by embedding LLM-as-judge evaluations, multi-prompt chains, and human oversight directly into CI/CD pipelines. Tools like Vellum, ...

Since the first human genome was sequenced in 2000, omic profiling technologies have seen their costs reduced by multiple orders of magnitude, and omic profiling is now performed routinely. Petabytes ...

The advent of RNA sequencing (RNA-Seq) has significantly advanced our understanding of the transcriptomic landscape, revealing intricate gene expression patterns across biological states and ...

In the digital age, the global character of the Internet has significantly improved our daily lives by providing access to large amounts of knowledge and allowing for seamless connections. However, ...

There are many implemented methods to perform causal inference when your intervention of interest is binary, but few methods exist to handle continuous treatments. This is unfortunate because there ...

Stereotypes often depict women as more passive than men, with popular culture believed to produce and reinforce such views. This study introduces a computational approach for analyzing character ...

The ability to solve complex problems methodically and systematically is of utmost importance in the practice of Engineering. There is a growing interest in exploring potential contributions of ...

To test if MDS could be improved by modifying the method and to further verify that the positive flux bias was caused by the biased radiation sampling, we investigated the model performance with three ...