Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry ...

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...

Discover more about how AI models can accurately distinguish children with autism spectrum disorder using eye-tracking ...

Facial expressions serve as a crucial medium for human emotional communication. Based on duration and intensity, expressions can be categorized into macro-expressions and micro-expressions.

This special issue focuses on the latest research progress in 6G technology development, standard formulation, and engineering practice, based on our previous special issue titled 6G Requirements, ...