Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

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 ...

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

In the development of modern animal husbandry, the feed industry serves as a crucial material foundation, and extrusion puffing technology has become ...

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...

Artificial intelligence (AI) is rapidly reshaping the landscape of leukemia diagnosis, offering new possibilities for earlier detection, more precise classification, and improved patient care, ...

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

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

EXCLUSIVE: Millions of Americans are experiencing dating app fatigue. A newly released AI matchmaking app is seemingly ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...