SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise-resistant Deep ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

These multiple optical paths improve the system's ability to extract features from input data, offering a new way to optimize neural networks beyond just adding more layers or tweaking activation ...

An international group of researchers has used feature selection-based artificial neural networks (ANN) with various machine-learning algorithms to predict the OTA of PV systems. They ran their ...

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 ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...