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 ...

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 ...

El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...

Cities are particularly vulnerable to heat stress because paved and densely built-up areas tend to store the heat. More ...

Although deep learning methods have been extensively applied in anomaly detection, there is no one-size-fits-all technique that works for multiple applications across a variety of fields. Further, ...

However, the background of OpenAI's birth is far more complex than a mere technological breakthrough. At that time, the fierce competition between Google and Meta for AI talent led to profound ...