The AI revolution is bringing with it a whole new vocabulary to describe its advances. This glossary will help you stay up-to-date. Imad is a senior reporter covering Google and internet culture.

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Errors in the collection of categorical data lead to misclassification of observed counts. Several authors have proposed a double sampling scheme. This article develops a method for analysis of double ...

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...