Artificial intelligence and wearable devices are two major hotspots today. The combination of the two will expand the application fields of artificial intelligence, enhance the functions of wearable devices, and help the development of wearable devices. The University of Cambridge announced a few days ago that a start-up company established by the school’s researchers has developed a new wearable device that transmits the monitored ECG, body temperature and other indicator data to the cloud, and artificial intelligence algorithms analyze whether the user has abnormal heart rate problems. 

The combination of artificial intelligence and wearable devices can be divided into two categories. One is the use of the network and the cloud. Wearable devices monitor various human body and environmental data, upload them to the cloud through the network, and analyze them by the cloud artificial intelligence chip, returning the corresponding data and instructions. The other is to integrate the artificial intelligence chip on the wearable device processor, so that information collection and analysis can be completed directly on the wearable device without relying on the network and the cloud, and the results can be obtained. The research results of Cambridge University and the "Yellow Mountain No. 1" chip correspond to the combination of these two types of artificial intelligence and wearable devices.

On the one hand, with the help of network and cloud artificial intelligence wearable devices, there are high requirements for the network and cloud artificial intelligence processors. It is necessary to transmit the collected data through the network at a high speed and low latency, and quickly complete calculation and analysis in the cloud. Draw a conclusion and send it back to the client. Only in this way can we realize effective monitoring of the body and timely warning of health threats. The advantages of high bandwidth and low latency of the 5G network that will be put into use in the future can strongly support the realization of this function. The continuous optimization and upgrading of artificial intelligence algorithms and the continuous improvement of processor performance also provide guarantee for cloud artificial intelligence analysis and processing of large amounts of uploaded monitoring data.

On the other hand, integrating the artificial intelligence chip on the wearable device processor can omit the process of data transmission between the client and the cloud, break away from the shackles of wireless transmission, and reduce the dependence on other devices and conditions when the wearable device is used. Improve the independent work of wearable devices and reduce the burden on users.

Both methods have advantages and disadvantages. With the advent of the 5G era and the continuous advancement of artificial intelligence chip technology, wearable devices can not only independently complete human body monitoring and data analysis, but also communicate with the cloud to enhance the accuracy and reliability of artificial intelligence for data analysis. With the increasing pursuit of health and quality of life, wearable devices will become more popular. The addition of artificial intelligence will greatly enhance the suitability of wearable devices to user needs, meet the needs of users for health monitoring, and provide timely and effective early warning of adverse factors. With the help of artificial intelligence, wearable devices will have stronger market competitiveness, which will be an important trend in the development of wearable devices.