Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect ...

Artificial Intelligence (AI) has a problem -- it’s artificial. To be fair, AI and its sister disciplines of machine learning, cognitive computing, sentiment analysis and neural networking have a ...

With active learning, we have a way to identify where the uncertainties lie in our dataset. We can filter out the risk, and bring in the human experts to focus on the opportunity.

The ICRC, like many organizations across different sectors and regions, is grappling with the implications of artificial intelligence (AI) and machine learning for its work. Since these are software ...

Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

Artificial Intelligence (AI), Machine Learning, and Deep Learning are all topics of considerable interest in news articles and industry discussions these days. However, to the average person or to ...

Abstract: Motivated by the need to understand the behaviour of complex machine learning (ML) models, there has been recent interest in learning optimal (or sub-optimal) decision trees (DTs). This ...