Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

Though AI has been widely demystified, its full materialization in real field implementation entails diversified challenges. The article by Dr Cédric Bourrasset (Atos) gives perspective on the hiccups ...

It uses the graph-based connectivity of analytes’ functional groups as input to predict whether the protonated analyte will undergo a diagnostic reaction with MOP. A Cohen Kappa statistic of 0.70 was ...