Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

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 ...

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 ...

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

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 ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Interview Kickstart, a well-known upskilling and interview-preparation platform, reports significant interest in its Machine ...

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 ...