# Dynamic neural networks: advantages and challenges

## TL;DR

This paper explores dynamic neural networks, which adapt their structure to improve AI efficiency and mimic human intelligence.

## Contribution

The paper introduces dynamic neural networks as a novel approach to enhance AI adaptability and efficiency.

## Key findings

- Dynamic neural networks offer adaptable structures that improve AI performance.
- They bridge the gap between artificial and human intelligence through improved efficiency.

## Abstract

This perspective article delves into the transformative realm of dynamic neural networks, which is reshaping AI with adaptable structures and improved efficiency, bridging the gap between artificial and human intelligence.