Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

With information overload, rapidly and effectively communicating complex medical data to healthcare professionals, researchers, and patients is crucial. Today’s audiences not only benefit from, but ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...

The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...