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 ...

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.

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

Savvy algorithms are learning to drive our cars, to detect cancer faster and can already beat the world's best chess player. But there are concerns about whether or not the programmers building these ...

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