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 ...

The outcome of a three-month project from CWI, ARCNL and Photosynthetic was a physical proof-of-principle Optical Neural ...

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

With new ray regeneration and radiance caching features as well as greatly-enhanced upscaling and frame gen, FSR Redstone was ...

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 ...

Tested across eight lettuce types, the system successfully visualizes pigment spatial distribution from individual leaves to full canopies, offering a ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

The year forced an uneasy realization into the open, one no algorithm is designed to help us avoid. Authority can be rebuilt ...

Artificial Intelligence (AI)-powered water management research and development (R&D) to strengthen water security in South Africa ...