In the past decade, advances in algorithms, computer architecture and processing power have led to giant strides in the development of computers that are capable to learn by themselves how to solve a ...

while not disrupting the deployment of the current machine-learning or deep-learning approaches. REFIT is especially useful for data scientists and engineers in companies with limited in-house ...

The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these ...

In the past ten years machine learning and deep learning has continued this progress using data driven methods which do not require explicit models. This focus area includes courses in theory, ...

Recent developments in Machine Learning (ML) and Artificial Intelligence (AI) have revolutionized how we approach science and engineering. ML and AI have accelerated the discovery of new materials for ...