As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

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

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 ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 ...

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

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 ...

Our brains relish even brief moments of shared experience. Yet, we often overestimate how successfully we communicate in social interactions.

Meditation may calm the mind, but a recent study suggests it can also reshape brain activity by profoundly altering brain ...