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

A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural networks with the varying speeds of local brain activity. Published in ...

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

The photonic microchip (below) developed for the study on physical neural networks, along with the electronic chip (above, the yellow one) of control. Artificial intelligence is now part of our daily ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...