Neuroplastic AI refers to the integration of principles from neuroplasticity, which is the brain's ability to reorganize and form new neural connections, into artificial intelligence systems.

 

This approach aims to create AI models that can adapt and learn dynamically, just like the human brain, allowing them to continually improve and optimize their performance based on new data and experiences.

 

By mimicking the brain's plasticity, these AI systems could become more versatile, resilient, and efficient in solving complex problems and handling diverse tasks.