Flexible electronics will make great progress in the research of electronic displays, thin-film solar panels, radio frequency identification systems, electronic skins, etc.. It will be widely applied in information, medical, energy, manufacturing, etc. in wearable, diversified, and intelligent ways.

At present, artificial intelligence (AI) chips and technology have been increasingly perfected, and have reached the stage of industrialization where they can be implemented on a large scale. Deep learning technology is popular in various industries. Multi-modal deep semantic understanding is becoming increasingly mature, and natural language processing will be deeply integrated with knowledge in various professional fields.

For example, deep learning controller based on AI technology is suitable for complex systems with large state spaces that partially involve nonlinear correlations between measured states and variables. It will assist advanced control systems, promote iterative upgrades of control systems to the next generation.

The Transformer model of AI machine learning reuses the knowledge learned on the source task to the target task through transfer learning. The T-PTLM model has been derived, which will bring new changes to the natural language processing, and promote the development of iterative upgrades of the third generation of artificial intelligence.

In the future, IoT technology will make breakthrough progress in the three directions of boundaries, dimensions, and scenarios. Blockchain technology and smart transportation will be integrated into more scenarios. The application of quantum computing as a new driving force will bring new vitality to artificial intelligence and cloud computing.

The development trend of manufacturing automation is manufacturing agility, manufacturing network, manufacturing virtualization, manufacturing intelligence, manufacturing globalization, and green manufacturing. In the development of intelligent manufacturing, the key technology that drives the development will be fully utilized.

Flexibly use the six key core technologies of sensory control, data integration, model construction, model interoperability, business integration, and human-computer interaction that integrate multi-disciplinary technologies, and make full use of models, data, and intelligent analysis, prediction, and judgment capabilities to achieve product-oriented operations.

With derived sensors, simulation models, and industrial internet, we will improve the CPS system and efficiently connect the physical and information worlds to achieve the integration of simulation products and real-world products. This effectively improve and control product quality, and provide high-quality, efficient, and intelligent services in real time.

We will continue to expand the application scenarios of digital twins and realize the development towards comprehensive optimization of the value chain in the three major fields of product, production and business.

The development trend in robots is to achieve the integration of humans and machines. Through the integration and application of flexible electronics and artificial intelligence in the field of intelligent manufacturing, intelligence will be updated to improve the robot's situation understanding and natural language interaction capabilities.

This effectively improves the accuracy and practical operation capabilities of robots, achieves the integration of humans, robots, and the environment, and achieves the integrated development of machinery, information, and intelligence.