The three stages of development of aiot are as follows:

1. Stand-alone Intelligence Stage: In this stage, stand-alone systems need to accurately sense, recognize, and understand all kinds of user commands, such as voice, gestures, etc., and to correctly make decisions, perform and give feedback. There is no interconnection between devices in this process.

2. Interconnected Intelligence Stage: In this stage, devices are interconnected to build an interconnected product matrix, breaking the silo effect of stand-alone intelligence, and continuously upgrading and optimizing the intelligent experience scene. For example, when the user says "sleep" to the air conditioner in the bedroom at night, the TV, speakers, curtains and lights in the living room automatically enter the off state.

3, active intelligence stage: the intelligent system according to user behavioral preferences, user profile, environment and other types of information, self-learning, and actively provide services applicable to the user. For example, the change of light in the morning, the curtains automatically open slowly, the speaker comes to the pleasant wake-up music, the air conditioner to adjust the temperature.

AIoT (Artificial Intelligence Internet of Things) = AI (Artificial Intelligence) + IoT (Internet of Things).AIoT integrates AI technology and IoT technology, through the Internet of Things to generate and collect data from different dimensions, massive data stored in the cloud, edge, and then through the analysis of big data, as well as a higher form of artificial intelligence, to achieve the realization of the data of all things, everything is intelligent connected. IoT technology is integrated with artificial intelligence.

Applications:

Both AI and IoT are inseparable from one keyword: data. Data is the basis for the interconnection of everything and human-computer interaction, and the intervention of AI gives IoT a connected "brain". Similarly, thanks to the current development of storage technology, so that the data has a basic "logistical support". The rapid expansion of cloud services has given data the material foundation to realize its value.

AI, IoT "integration", "artificial intelligence" gradually to "application intelligence" development. Deep learning needs the Internet of Things sensor collection, the Internet of Things system, also need to rely on artificial intelligence to do the correct identification, find anomalies, predict the future, it can be seen that artificial intelligence combined with the Internet of Things is the next major development, and such a development, affecting all walks of life.