How does artificial intelligence work?

 Artificial intelligence or AI is the technology used by machines and computer applications capable of imitating human intelligence. These learn from experience through iterative processing and algorithmic training. SeDomicilier offers you more information on how artificial intelligence works.

AI can offer solutions to certain problems and make predictions or suggestions to help make a strategic decision. Its advantages are gradually making it essential for businesses and other organizations, but also for individuals whose daily lives are improved.

Better understanding of the basics of artificial intelligence

The operation of AI systems is based on the combination of large data sets and intelligent processing algorithms. Each time a set of data is processed by artificial intelligence, the system tests evaluates its own performance, and improves its expertise. Unlike humans, it does not need breaks, which allows the rapid execution of a large number of tasks. By learning a lot in a very short time, the AI ​​becomes extremely efficient at what it is trained to do.

To better understand artificial intelligence, think of it as an entire science instead of just a computer program or application. Its basic goal is to build systems that can model human thinking to use similar processes for problem-solving. To achieve this, AI relies on several disciplines and technologies.

The disciplines of artificial intelligence

The use of artificial intelligence is revolutionizing the way we work and live in general. It is divided into several branches which are sometimes combined by specialists to offer innovative systems.

Automatic learning or machine learning

Machine learning is the application of AI through which computer systems and programs learn automatically. It is the discipline behind developing better results through experience, without prior programming.

With machine learning, artificial intelligence searches for and finds patterns in data. It can then discover information and improve the execution of all the tasks that the system is supposed to perform.

Deep learning

It is a type of machine learning that makes AI capable of learning and becoming better by processing data. Deep learning is based on the use of artificial neural networks that reproduce the biological neural networks of the human brain. It performs data processing, finds connections between information, and arrives at inferences or outcomes from positive and negative reinforcement. In business, this can be used to implement marketing adapted to potential customers or prospects.

Cognitive computing

Cognitive computing aims to reproduce the functioning of the human brain on a computer scale. It is based on self-learning systems that combine data mining, language processing, and pattern recognition. Research methods and processing methods are constantly refined to be able to anticipate problems and propose solutions. Cognitive computing is used in different sectors such as robotics or virtual reality.

Natural language processing

Natural language processing is an essential component of artificial intelligence that allows computers to recognize human language, written or spoken. In addition to recognizing language, they analyze, interpret, and understand the true meaning of sentences. Using such a program is essential for any AI system designed to interact with humans, via text, voice, or other inputs.

Computer vision

One of the most popular applications of AI technologies is the ability of the computer to examine and interpret the content of an image. This involves the use of pattern recognition and deep learning. With Computer Vision, AI systems can identify components of visual data. We can give the example of captchas that you have probably already encountered on the web. These programs learn by asking humans to help them identify a car, a bicycle, the pedestrian crossing, etc.

The development of technologies has favored the rise of AI

Artificial intelligence is not new, but its applications have developed significantly in recent years thanks to advances in technology. Improvements in IT tools and algorithms essential to the proper functioning of AI have led to its massive adoption.

More accessible and larger datasets

Artificial intelligence needs data to thrive. These are available in large quantities and have become more accessible in recent years. We speak in particular of  Big Data to designate large volumes of information whose processing requires the use of specific technologies.

The development of the IOT  (Internet of Things) is the basis for the production of enormous quantities of data. They are collected using connected devices that make our daily lives easier. The potential applications of AI would be much more limited without the massive use of these next-generation machines.

Graphics processing units (GPU)

GPUs also play a vital role in the growth of artificial intelligence. They provide AI systems with the power required to carry out the millions of calculations required for interactive processing. High-performance GPUs are essential for the rapid processing and interpretation of Big Data.

Intelligent data processing

Intelligent data processing is about advanced algorithms used by AI to analyze data faster, at multiple levels, and simultaneously. Complex systems are better and quickly understood and rare events can be predicted.

The Evolution of Application Programming Interfaces (APIs)

The use of APIs makes it possible to add artificial intelligence functionalities to computer programs and applications. Systems and software are becoming smarter and can better identify and understand patterns within data.

Some advantages and applications of artificial intelligence

The democratization of artificial intelligence makes its applications accessible to all companies, regardless of their size, their field, or the quantity of data managed. Machine translation,  virtual assistants like chatbots, and predictive maintenance are some of the most well-known uses of AI.

You have the opportunity to improve the work of your employees by sparing them from repetitive tasks with low added value which can now be automated. Artificial intelligence also simplifies research and analysis processes while helping to make informed decisions in business.

It has the advantage of not having the classic human limits such as unconscious biases which infiltrate even the work of the greatest experts. Despite its extraordinary potential, AI still presents challenges, including ethical, legal, and technological ones.