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 ...

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

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

Please provide your email address to receive an email when new articles are posted on . The rise of deep learning and artificial intelligence in retinal disease, and all of ophthalmology, is ...

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 ...

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

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