We explore the added value of deep learning techniques for forecasting and nowcasting in official statistics as an alternative to classic time series models. Several neural network algorithms are ...

PatchTST specializes in segmenting time-series data into “patches,” allowing precise forecasting for irregular or noisy datasets, particularly in healthcare and environmental monitoring.

Forecasting the future and filling the gaps: How Synthefy is reinventing time series intelligence with NetApp Synthefy is working with NetApp to enable context-aware, multi-modal forecasting ...

Attention is not all you need when forecasting with generative AI. You also need time. IBM recently made its open-source TinyTimeMixer model available on Hugging Face.