Exploring applications for adaptive modeling of
time-series data
Emergent Methods is passionate about staying up-to-date with the latest developments in machine learning and artificial intelligence. We also want to contribute to the field by developing new methods and applications. With this in mind, we are running a series of experiments to explore the potential of adaptive modeling of time-series data.

We have run several experiments across a range of topics including: news sentiment tracking, weather nowcasting and financial market forecasting.

If you have an idea for a project or collaboration, please get in touch!