The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

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

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern ...

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...

The greatest risk in financial AI isn't that machines will make mistakes. It's that institutions will believe they understand ...