Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they ...

Risk scores and machine learning algorithms were less accurate at predicting stroke for Black adults than for white adults, researchers reported in JAMA. “Our findings suggest that we may not be ...

A new study published in the Journal of Experimental Psychology: General suggests that personalization algorithms used by ...