A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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 ...
In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...
AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.
1 School of Computer and Data Science, Minjiang University, Fuzhou, China 2 Metatop (Fuzhou) Technology Co., Ltd., Fuzhou, China Despite these advances in online learning, a critical unresolved issue ...
Abstract: Koopman theory offers a potent framework for mode-by-mode analysis of system dynamics. Inspired by this theory, this work introduces a deep-learning framework utilizing autoencoders and a ...
Abstract: We introduce a novel deep graphical representation that integrates game theory (GT) principles with the laws of statistical physics (SP), enabling feature extraction and pattern ...
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