Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...