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.

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 ...

In rock-paper-scissors, the ideal strategy is simple: You should play a random move each round, choosing all three ...

Objectives:Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the ...

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

The predictive ability of cough sound algorithms shows promise in detecting acute respiratory diseases, study finds. A machine learning algorithm for detecting and classifying acute respiratory ...

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

Here are the six most sought-after skills that hiring managers will pay extra for and what you can do to learn and improve ...