Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

Digital learning has become the norm in education, but evaluating its effectiveness remains a challenge. In K-12 settings, ...

There are huge opportunities for AI to improve and democratise financial services, particularly financial advice. But is the ...

In this study, we introduce an ensemble-based machine learning algorithm ... all those three algorithms outperformed the baseline models that used single decision tree classifier. XGBoost with gini ...

In this regard, the machine learning ... the XGBoost algorithm to predict thyroid disease accurately. The best features are selected using XGBoost function. The proposed XGBoost algorithm's efficacy ...

Integrating drilling signals with an AdaBoost algorithm, this research improves real-time predictions of rock strength, ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...