As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
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 ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Future Market Insights (FMI) projects the Neural Processors Market to grow from USD 176 million in 2025 to USD 1,010 million by 2035, ...
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 ...
News-Medical.Net on MSN
Integrated Monte Carlo and deep learning improve radiotherapy QA
Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...
The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Neural Cloud's MaxYield ™ and CardioYield ™ platforms are designed to support AI-driven ECG signal enhancement, automated waveform labeling, and high-throughput cardiac reporting-enabling faster, more ...
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