Zhiping Fang and Guo Yandong: Neuromorphic intelligence will become an important direction for the development of the next generation of robot brains.

From June 23rd to 25th, the 17th Annual Meeting of the World Economic Forum's New Leaders took place in Dalian. Guo Yandong, founder and CEO of Zhipingfang, proposed during his speech at the meeting that brain-like intelligence, small-sample learning, and low-power computing will become important development directions for the next generation of robot brains. The next generation of robot brains should not only be about computing power and data competition, but also need to explore more efficient and sustainable development paths. One of the important challenges facing the robotics industry is the long-existing application gap between industrial, public service, and future home scenarios. The key to solving this problem lies in unifying hardware and models. At the same time, data generated in different scenarios continuously flows back to the same robot brain. Industrial scenarios enhance the precision and stability of robots, while public service scenarios enhance interaction and generalization capabilities. These two capabilities complement each other, ultimately laying the foundation for future home applications.