Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Discover how long-term growth expectations drive investment decisions and stock valuations. Explore new research that reveals ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

Economic variables also play a central role. Rising GDP per capita increases healthcare utilization rates as households are ...

WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

NTT Research, Inc ., a division of NTT (TY;9432), today announced that members of its Physics & Informatics (PHI) Lab, in ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Mechatronic systems have evolved from traditional electromechanical devices into complex, intelligent, and interconnected systems that form the foundation ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...