AIoT: What is it and how is it different from conventional IoT?

AIoT

Have you heard of the Internet of Things (IoT) and Artificial Intelligence (AI)? Probably yes. But what happens when we combine these two powerful technologies? We enter into what is known as the Artificial Intelligence of Things or AI. AIoT (Artificial Intelligence of Things).

New and great possibilities for the world of makers and DIY lovers with which to combine the potential of both fields into one, making possible countless projects that were previously unthinkable…

What is the IoT?

mosquitto IoT board

El IoT (Internet of Things), or Internet of Things, is a concept that refers to the digital interconnection of everyday objects through the Internet. These objects, which can range from household appliances to industrial sensors, are equipped with technology that allows them to collect and share data.

Although the term "Internet of Things" was coined by Kevin Ashton in 1999The roots of IoT go back much further. The first concepts of connecting objects to a network began to emerge in the 1980s, with experiments such as connecting a Coca-Cola vending machine to the internet. However, it has not been until more recently that IoT has expanded.

Advances in electronics, the maturation of some technologies, New networks and connectivity options, as well as the availability of a greater number of IP addresses, have made this possible, allowing everything to be connected, from cars to household appliances, including many other everyday devices… Today almost everything is connected.

What is AI?

robotic engineering

La Artificial Intelligence (AI)Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These systems are designed to learn from data, recognize patterns, and make decisions autonomously.

As you know, they exist various types of AI, such as machine learning, which learns from data without the need to be explicitly programmed. We also have deep learning, a branch that uses artificial neural networks to model complex patterns in large data sets. Of course, we must not forget NLP or natural language processing to understand human language, or computer vision, to understand visual information.

Leonardo Torres Quevedo placeholder image He was a Spanish pioneer in this field, although another of the great forgotten ones. Today we have references such as Ramón López de Mántaras.

The idea of ​​creating thinking machines is as old as humanity itself. From the Greek myths of automata to the futuristic visions of writers like Isaac Asimov, the dream of artificial intelligence has captivated people's imaginations for centuries. However, the first steps did not come until the 40s and 50s with the British Alan Turing and his famous Turing test, later giving way to the first intelligent systems of the 60s and 70s. In the 80s and 90s, artificial neural networks arrived, and in the XNUMXst century, the era of deep learning and the maturation of AI thanks to the computing power of TPUs, GPUs, and NPUs.

What is AIoT?

AIoT

El AIoT, or Artificial Intelligence of Things, is the fusion of the two revolutionary technologies I mentioned earlier. Imagine a world where everyday objects, from your thermostat to your car, are not only connected to the internet, but are also capable of learning, reasoning and making decisions autonomously.

IIoT, or Industrial Internet of Things, is an evolution of IoT (Internet of Things) specifically focused on the industrial field. If IoT connects everyday objects to the internet to collect and share data, IIoT focuses on connecting devices and machines within industrial environments to optimize processes, increase productivity and improve efficiency.

IoT provides us with a network of connected devices that collect and share data. AI, on the other hand, gives these devices the ability to analyze that data and extract valuable insights. By combining both technologies, AIoT creates intelligent systems that can learn from their experiences and adapt to new situations. A clear example is autonomous driving.Autonomous vehicles use a large number of sensors (cameras, radars, LIDAR) to collect data about their surroundings. This data is processed by artificial intelligence algorithms that allow the vehicle to make real-time decisions, such as accelerating, braking or changing lanes.

Therefore, it can be said that AIoT offers interesting benefits that IoT and AI alone could not offer, such as:

  • Automation: Repetitive and routine tasks can be automated, freeing people to focus on more creative and strategic tasks.
  • EfficiencyBy optimizing processes and resources, AIoT can help reduce costs and increase productivity.
  • Personalization.: AIoT devices can adapt to each user's individual needs and preferences, offering more personalized experiences.
  • Innovation: AIoT opens up new possibilities in various sectors, from health to industry, driving the creation of innovative products and services.

AIoT Applications

In daily life AIoT can have multitude of possible applications, from personal or home projects, to also in industry. For example, some application cases are:

  • Smart home: such as thermostats that learn your temperature preferences, appliances that turn on and off automatically, and security systems that detect intruders.
  • Industry: for predictive maintenance of machinery, supply chain optimization and automated quality control in an Industry 4.0.
  • Health: imagine remote patient monitoring, computer-assisted diagnosis and development of new treatments.
  • smart cities: for traffic management, energy consumption optimization and personalized public services.
  • Autonomous vehicles: cars that can drive themselves, thanks to the combination of sensors, cameras and artificial intelligence algorithms, and AI services and cloud connection to provide the necessary information.
  • Robotics and consumer electronics: It can also be applied to these other fields, improving existing AI and Internet connectivity systems.