The study advanced beyond a one-size-fits-all model by developing both a global XGBoost classifier and cancer-type-specific ...

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

A new study has used machine learning to identify the key predictors of physical activity adherence, analyzing data from nearly 12,000 individuals.

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

To address these challenges, we propose a novel Deep Learning-Augmented algorithm for automated sleep spindle detection in ADOC patients. This method combines Convolutional Neural Networks with ...

Numbers alone can’t confirm whether hospitals are doing unnecessary C-sections, but some facilities have confirmed they see a need for a culture shift to help keep labor moving.

Madhavapeddy is part of the team building a new AI tool called Terra - a predictive model of all terrestrial life on Earth. It’s a hugely complex task. The aim is to understand, then help ...

Researchers have found in a new study that Machine learning shows promise in predicting treatment outcomes in early childhood ...

The algorithm employs the notion of lever pulls in the multi-armed bandit game to select the attributes during decision tree induction, using a look-ahead methodology to explore potential attributes ...

When Christian isn't engaging in piracy on the high seas or conducting high-tech industrial espionage, he's usually writing something--either the weekly Arcane Brilliance column for WoW Insider or ...

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