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 ...
For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...
Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
From tropical forests to coastal reserves, destinations built around natural heritage are facing mounting pressure to manage tourism more precisely. The pandemic disrupted visitor flows and revealed ...
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