In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them successful.

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 ...

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 ...

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 ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

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 ...

This guide was reviewed by a Business News Daily editor to ensure it provides comprehensive and accurate information to aid your buying decision. Modern businesses run on data. Companies regularly ...

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, ...

Trump’s funding cuts put America’s consumer watchdog on the brink of collapse Consumers who had fallen on hard times, credit counselors and lawyers who work with the poor told Reuters the CFPB had ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...