As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification BEIJING, Feb.06, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...
Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, termed "one-shot learning," have remained unknown. A mysterious type of ...
Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.
First, using an addictive substance causes the release of a chemical messenger called dopamine in the reward network, which ...
For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
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