The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

Nanoparticles—the tiniest building blocks of our world—are constantly in motion, bouncing, shifting, and drifting in ...

This study uses five Machine Learning classification algorithms (Gaussian Naive Bayes, AdaBoost, Gradient Boosting, K Neighbors Classifier, Decision Trees, Random Forest, and Logistic Regression) and ...

In this study, the entropy weight method (EWM) and TOPSIS method are integrated, and finally an EWM-TOPSIS athlete performance evaluation (ETP) model is formed, which uses the average of two weights ...