Artificial Intelligence – Definition, AI Pillars, Examples,

Table of Contents

What is Artificial Intelligence? How Does AI Work?

Artificial Intelligence gained relevance in this era of technology in which computing and digitization are growing exponentially.

Artificial Intelligence is similar to the human intelligence of machines. The Artificial Intelligence course provides in-depth knowledge and skills required to work with it.
In other words, it is the discipline that tries to create systems capable of learning and reasoning like a human being, learn from experience.
Find out how to solve problems under given conditions, contrast information, and carry out logical tasks.
The fact that a system has humanoid hardware and acts physically is a field belonging to robotics.
It is far from the concept of Artificial Intelligence, which focuses on emulating the way of thinking and reasoning of humans.
It is to note that if a system could learn and think like a human, it would have notable advantages over it, thanks to its speed and calculation capacity.

Artificial Intelligence is a creative concept.
For example, in the seventeenth century, the philosopher Descartes already theorized about the possibility of intelligent automata.
Of course, it was not until the middle of the twentieth century when the issue began to gain results.
A few of the AI challenges are by Alan Turing in 1950, which consisted of the following test: “A system is intelligent enough if it manages to pass itself off as human when asked by a judge.”
Curiously, this test is still a great challenge today.
Years later, the renowned computer scientist John McCarthy coined the term “Artificial Intelligence” at the famous Dartmouth Conference in 1956.
However, what seemed like the rise of a branch of technological research ended in speculation and isolated projects for decades, among other reasons.
It turned out to be a field in which no one dared to invest money seriously.

Artificial intelligence is t find in every corner of the new technology world.

Home automation is one of the “common” fields in Artificial Intelligence, where the users can enjoy it for a long time.

It is not one of the most impressive AI.
Still, companies like Google or Microsoft apply many algorithms in constant evolution intending to detect fraudulent and SPAM-type emails.

AI systems use search engines and social networks that analyze all the information available to the user.
Also, to show them ads with which they will probably interact.

They are usually systems highly trained in a specific intellectual activity, based on experts in the field.
However, a classic example is that of systems that play chess.

Systems that make exciting use of NLP (Natural Language Processing)
Improve with each experience; enable consistent two-way communication with humans, whether oral or written.

Perhaps one of the most obvious, but it has always been one of the primary sources of improvement in AI.
Also, in this eternal quest to make “the machine” act coherently and realistically.
And, in a game, be it an enemy soldier or a racing car. Also find more helpful resources at thedigitaltrendz