In the field of hybrid recurrent neural network architecture-based human-robot collaboration intention recognition, there are other research directions that deserve further exploration.

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural ... with a multisection ...

Recurrent neural networks can solve some types of problems that regular feed-forward networks cannot handle.

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like ...

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.

A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics by Ingrid Fadelli, Phys.org ...