WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

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 ...

CRO doesn’t stop just because you can’t A/B test. This article breaks down how ecommerce teams can improve conversion rate ...

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

We consider the usual proportional hazards model in the case where the baseline hazard, the covariate link, and the covariate coefficients are all unknown. Both the baseline hazard and the covariate ...

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.