The Role of Artificial Intelligence in Internet of Things, Consider the possibilities of a smart future! A future in which machines are more than just mechanical equipment, but intelligent entities that can collaborate with humans. A future that resembles the robotic utopia depicted in I, Robot (except for the homicidal robots!). This future isn’t just a fantasy; it’s an inevitable result of today’s two most dynamic technologies: artificial intelligence and the internet of things.
The question now is… What is Artificial Intelligence (AI) and how does it relate to the Internet of Things (IoT)?
Artificial Intelligence, on the other hand, is concerned with the development of systems that can learn to mimic human functions based on prior experience and without the need for manual intervention. (It’s all about Intelligent Systems!) The Internet of Things, on the other hand, is a network of numerous devices connected to the internet and capable of collecting and exchanging data.
Why is Role of Artificial Intelligence required for IoT?
According to Business Insider, by 2025, there will be over 64 billion IoT devices, up from around 9 billion in 2017. All of these IoT devices generate a large amount of data, which must be collected and mined in order to produce actionable results. Role of Artificial Intelligence enters the picture at this point. The Internet of Things is used to acquire and manage the massive amounts of data that Artificial Intelligence algorithms demand. As a result, these algorithms transform the data into useful actionable findings that IoT devices may employ.
This is best summed up by Maciej Kranz, Cisco’s Vice President of Corporate Strategic Innovation. “IoT devices and the data they generate throughout the network would be worthless without AI-powered analytics.” Similarly, without the IoT-generated data coming in, AI systems would struggle to be useful in corporate contexts. The strong combination of AI and IoT, on the other hand, has the potential to alter industries and assist them in making more intelligent decisions based on the daily explosion of data. The c (IoT) is the body, and artificial intelligence (AI) is the brains, and the two may work together to generate new value propositions, business models, income streams, and services.”
Applications of Artificial Intelligence in Internet of Things
The Internet of Things and Artificial Intelligence are a match made in heaven!!
While both of these disciplines are valuable on their own, their full potential can only be realized when they work together. Artificial Intelligence and the Internet of Things are used in a variety of applications across a wide range of industries. The following are a few of them:
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Robots that work together
Have you ever wished for the assistance of a robot? Collaborative Robots, often known as Cabot’s, provide exactly that. These Cabot’s are extremely complex devices that are designed to assist humans in a shared working, spanning from office to industrial settings. They can be as simple as a task-oriented robot arm or as complicated as a complex robot built to complete difficult jobs.
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Drones
Drones are aircraft that do not have a human pilot (the software does the piloting!). They are particularly helpful since they can navigate unfamiliar environments (including those beyond the internet’s reach) and reach regions that are dangerous to humans, such as offshore operations, mines, war zones, or burning structures.
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Cities that are smart
Why not entire cities, since everything is becoming smart? A network of sensors connected to the actual city infrastructure can be used to develop smart cities. These sensors can be used to monitor a city’s energy efficiency, air pollution, water use, noise pollution, traffic conditions, and other civic variables.
4.Digital Twins
Digital Twins are (obviously!) twin objects, one of which is a physical thing and the other a digital reproduction of it. Airplane engines and wind turbines are examples of these items. Digital twins are primarily used to examine the performance of objects without resorting to traditional testing methods, hence lowering testing expenses.
- Retailing Intelligence
This is smart purchasing at its finest! Retailers can utilize AI and IoT to better understand customer behavior (by looking at the customer’s online profile, in-store inventory, and so on) and then send real-time customized offers to them while they’re in the store.
Real World Examples
While artificial intelligence in the Role of Artificial Intelligence is still a relatively new concept, it has already been effectively implemented in a number of real-world applications. (Yes, the world is more technologically advanced than we believed!) The following are some of these applications:
Tesla Motors:
Self-Driving Cars: Self-driving cars may sound like science fiction, yet they are a reality in today’s world. The self-driving automobiles from Tesla Motors make advantage of the most recent advances in artificial intelligence and the Internet of Things. While these cars are still in the testing phase (with a slew of legal and ethical issues to contend with! ), they are one of the more straightforward IoT developments.
The Tesla self-driving cars have a unique feature in that they all work together as a network. When one car learns something new, it communicates it to all the other cars. And it’s used to forecast how cars and pedestrians would behave on the road in certain situations.
Endangered Species Preservation:
WildTrack Many animals are endangered or on the verge of extinction in numerous nations (due to humans, of course!). Furthermore, using collars to track these animals is both stressful and harmful (Both to the animals and researchers). As a result, WildTrack’s footprint identification approach (FIT) employs IoT and AI algorithms to determine an animal’s species, individual, age, and gender based on its distinctive footprint. The data can then be utilized to spot patterns in animal migration, population, and other factors that aid in the preservation of certain endangered species.
Nest Labs:
Smart Thermostat: Nest Labs’ Smart Thermostat (everything these days is smart!) leverages IoT to offer temperature monitoring and management from anywhere via smartphone integration. One of the main reasons for its success (apart from AI and IoT, of course!) is that it is really easy to use.
The Nest Labs thermostat relies heavily on Role of Artificial Intelligence. It is utilized to determine the users’ temperature preferences as well as their daily schedule. The system then adjusts for optimum temperature as well as best energy savings.
Automated vacuum cleaner:
iRobot Roomba: Why not a smart vacuum cleaner when everything else is becoming smart? Three members of MIT’s Artificial Intelligence Lab created the iRobot Roomba, which leverages IoT and AI to clean a space as efficiently as possible. It’s a robotic vacuum cleaner that detects barriers, unclean patches on the floor, and even steep drops like stairs using a collection of sensors.
So it basically remembers the architecture of the living area (as much as machines can!) and then cleans it using the most efficient and cost-effective actions. With “Clean” mode, “Spot” mode, “Dock” mode, and other features, a smartphone app can be used to change the performance requirements.
The Future Ahead
This is a thrilling new era to be alive in (for both people and machines!). IoT has become even more convenient as artificial intelligence, light-speed communications, and analytics have advanced, and high-performance IoT devices are taking over practically every technological domain. Furthermore, falling hardware costs make it possible to integrate sensors and connection into almost any device.
Artificial Intelligence and the Internet of Things, when combined, are ushering in a new era in which “smart” is the default state of being and the robotic utopia of the future becomes more and more realistic in the present.