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 ...

Key Takeaways Neural nets are a type of machine learning model that mimic biological neurons—data comes in through an input layer and flows through nodes with various activation thresholds ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even ...

Cities are particularly vulnerable to heat stress because paved and densely built-up areas tend to store heat. More frequent and intense heat waves are a growing challenge for public health and urban ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Google is releasing the high-performing Deep Think AI to select researchers, supporting advanced reasoning tests and future ...

Next, we highlight recent developments in hybrid deep learning models, which combine well-studied statistical models with neural network components to improve pure methods in either category. Lastly, ...