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 ...
Exactly when the process started no one knows, but fossils from the Cambrian period some 540m years ago show life on Earth going through a remarkable period of diversification. The point at which it ...
One paper presented at IEEE International Conference on Future Machine Learning and Data Science 2025 covers Verseon's superior predictions of drug-target interactions; another covers how the ...
A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.
MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of quantum ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...
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