AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

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 ...

Artificial neural networks (ANNs) have evolved into a cornerstone of computational intelligence, drawing inspiration from the intricate connectivity of the human brain. These architectures consist of ...

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

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Fuzzy neural networks and systems represent a synergistic integration of fuzzy logic and artificial neural networks, aiming to encapsulate human-like reasoning within powerful learning frameworks. By ...

The Nobel Prize in Physics was awarded to two scientists on Tuesday for discoveries that laid the groundwork for the artificial intelligence used by hugely popular tools such as ChatGPT.

A recent publication in Nature Machine Intelligence really got me thinking. In this study, researchers created an artificial system that not only simulates but also behaves like our brain. This ...

The future of AI points toward systems that are more general, adaptive, and integrated. Artificial General Intelligence, or ...

Examine the AI and computer science courses offered by Tsinghua University in 2026. Learn why Tsinghua is the top university ...