Engaging System 2 requires significant metabolic energy. Your brain consumes a lot of your body’s energy as it is; intense ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

New Woods College of Advancing Studies graduate degree program will focus on high-demand skills related to data analysis, machine learning, and artificial intelligence In today's business world, ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

The construction industry is increasingly shifting from traditional word-of-mouth referrals to digital marketing strategies.

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

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 ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.