In today’s rapidly changing information age, the Internet of Things is undoubtedly the product of the third wave. The Internet of Things is another revolution in the information age following computers and the Internet. It is applied to the integration of the network and the physical objects through communication perception technologies such as intelligent perception, recognition technology and pervasive computing. The applications in the Internet of Things are more extensive, smart industry, smart agriculture, smart cities, and smart medical care. These are all combined with big data and cloud computing, and artificial intelligence is also part of it.
So, what is Artificial Intelligence of Things (AloT)?
AIoT (Artificial Intelligence of Things) = AI (Artificial Intelligence) + IoT (Internet of Things). AIoT integrates AI technology and IoT technology, generates and collects massive amounts of data through the Internet of Things, and stores them in the cloud and at the edge. Then, through big data analysis, and higher forms of artificial intelligence, it realizes the digitization of everything, the intelligent connection of everything, and the Internet of Things technology. The pursuit of artificial intelligence is an intelligent ecosystem. In addition to the need for continuous innovation in technology, the implementation and application of technology is the core issue that needs to be broken through in the field of Internet of Things and artificial intelligence at this stage.
In short, it is the reasonable integration of artificial intelligence technology and the Internet of Things in practical applications to maximize benefits.
So, what is the difference between artificial intelligence and the Internet of Things?
There is no need to study the difference between artificial intelligence and the Internet of Things. Rather than say what is the difference between the two, it is better to say that the two are actually complementary and interrelated “communities.” Only when they are used at the same time can the greatest advantages of artificial intelligence and the Internet of Things be realized. And according to data, in the near future, the Internet of Things technology will be ubiquitous, and it is difficult for us to find devices that are not connected to the Internet.
How are artificial intelligence and the Internet of Things combined and applied in real life?
With the continuous development of our urban roads, the problem of traffic congestion is also getting worse. Therefore, the use of real-time data to monitor and change traffic flow can significantly increase efficiency and improve traffic jams. Through the erection of smart street lights, monitor traffic on each road section and adjust traffic signs in time, or use drones as a more mobile deployment option, and can monitor a larger area, and use wisdom to collect information in real time, and then send it to a nearby device for analysis. Although IoT devices have more powerful computing capabilities, the network bandwidth is still limited. The current 5G infrastructure construction can effectively solve the problem of data transmission delay and greatly improve real-time analysis to meet the requirements of smart IoT workloads.
Tesla has well applied many sensors, GPS and cameras to develop autonomous driving technology. Tesla Motors uses IoT embedded sensors and artificial intelligence applications to learn intelligent traffic behaviors to realize 360-degree autonomous vehicles. And another point worth mentioning about this technology is that all Tesla cars can communicate with each other through smart control devices. In addition, it also helps to improve the performance of each unit.
The smart home industry, as the most important landing scenario for AIoT human-computer interaction, is attracting more and more companies to enter. In the past, home appliances were a feature machine era. Just like the previous mobile phone button type, it helps you to cool down the temperature and help you realize the refrigeration of food; now the home appliances realize the stand-alone intelligence, which is the remote control of voice or mobile APP to control the temperature, turn on the fan, etc. Based on the concept of interconnected intelligence, in the future AIoT era, every device needs to have certain perception (such as preprocessing), inference, and decision-making functions. Therefore, each device side needs to have certain independent computing capabilities that do not rely on the cloud, that is, the edge computing mentioned above.
There are related statements that quantum computing may play an important and positive role in artificial intelligence in the future. Because no matter how advanced the classic artificial intelligence is, we still feel that it is a machine, a robot, and it cannot think completely like a human brain. Quantum mechanics combines the observer’s consciousness with the evolution of matter, so some scientists will guess that the operating mechanism of the human brain may have some similarities with quantum computers. With the development of quantum computing, it may help us better understand human intelligence. All in all, whether it is AI or the Internet of Things, there is a key word-data. Data is the foundation of the interconnection of everything and human-computer interaction. The intervention of AI gives IoT a connected “brain”. Similarly, thanks to the current development of storage technology, data has a basic “logistics support”. The rapid expansion of cloud services has given data a material basis for its value.