Fortune Telling Collection - Free divination - The Relationship between Artificial Intelligence and Internet of Things
The Relationship between Artificial Intelligence and Internet of Things
Artificial intelligence (AI). It is a new technical science to study and develop theories, methods, technologies and application systems that simulate, extend and expand human intelligence.
The Internet of Things (IoT) refers to the real-time collection of any object or process that needs monitoring, connection and interaction, and the collection of information such as sound, light, heat, electricity, mechanics, chemistry, biology and location through information sensors, radio frequency identification technology, global positioning system, infrared sensors, laser scanners and other devices and technologies.
Through various possible network access, the ubiquitous connection between things and people can be realized, and the intelligent perception, identification and management of things and processes can be realized. Internet of Things is an information carrier based on Internet and traditional telecommunication network, which makes all ordinary physical objects that can be addressed independently form an internet.
First of all, artificial intelligence provides a powerful data expansion for the Internet of Things:
The Internet of Things can be said to be the collection and sharing of data between interconnected devices, while artificial intelligence is to analyze and summarize the data after extracting it, thus promoting better cooperation between interconnected devices.
Second, artificial intelligence makes the Internet of Things smarter:
Artificial intelligence technology can help Internet of Things applications to carry out intelligent detection, especially in the face of some emergencies, relevant measures can be taken to improve the accuracy of handling emergencies.
Third, artificial intelligence helps the Internet of Things to improve operational efficiency:
Artificial intelligence can interpret the development trend of enterprise service production and predict future events by analyzing and summarizing data information. From the data analysis, we can find the probability of possible problems and make early warning reminders, which will greatly reduce the impact of failures and improve operational efficiency.
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