Years ago, fiction showed us movies where technology advanced to the point where machines could perform human activities. Currently, with the arrival of the artificial intelligence (AI) and other technologies of industry 4.0, This panorama moves further and further into the real world to offer innovative solutions to people and companies in search of a more automated future. If you want to know what it’s about, keep reading.
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What is Artificial Intelligence?
Artificial Intelligence (AI) it is the ability you have in your artificial devices —such as a computer or a robot— to perform tasks associated with human intelligence such as the ability to calculate, memorize data, understand meanings and even judge chess. However, there are still no programs that can match the human mind in an environment that requires non-everyday processes such as creativity or reasoning by themselves.
The goals of artificial intelligence include imitigating human cognitive activity. By now, the technology has advanced to the point where it can mimic activities of learning, rationalization, perception and problem solving which we will detail later.
One of the drawbacks when defining Artificial Intelligence is the simple concept of building intelligent machines. The concept goes much further, since what makes these machines intelligent is a series of technologies such as machine learning and there deep learning that have been making a paradigm shift in the different industries.
Origin of Artificial Intelligence
Artificial Intelligence had its first appearance in 1950 with Alan Turing your test (the Turing test). This consisted of putting a machine to interact with a person. If the machine could carry on the conversation without the human noticing, it was smart.
A Few Years Later (1955) John McCarthy officially coined the term at the Dartmouth conference, in what was mentioned as the object of AI: “Every aspect of learning or any other characteristic of intelligence can, in principle, be described with such precision that a machine can be created to simulate it. We will try to discover how to make machines use language, from abstractions and concepts, solve problems now reserved for humans and improve themselves”.
Artificial Intelligence Categories
Weak artificial intelligence or Artificial Narrow Intelligence (ANI)
When talking about weak Artificial Intelligence, it refers to a system designed to carry out a single job or a group of related tasks. This system has performance in efficiency.
Most experiences of everyday life with this technology are part of this category. An example of this can be voice assistants: you ask them a question and they answer it. Other examples can be:
- Videogames
- easy recognition
- Concrete Data Analysis Software
- weather applications
Machine learning and deep learning
Much of the implementation of weak Artificial Intelligence is thanks to the machine learning and there deep learning. It is important to remember that they do not mean the same thing or are on the same level. Think of some Russian dolls: the highest level is Artificial Intelligence, the second is the automatic learner (supervised and unsupervised) and finally there is the deep learner.
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Strong artificial intelligence (AGI)
Contrary to weak Artificial Intelligence, this type of AI is more like the one in the movies where machines can emulate human intelligence and behaviors in a strategic wayin addition to having the ability to perform complex tasks.
Strong AI is meant to the human does not have to intervene at any time and is poorly developed. An example of this can be autonomous cars or some robotic systems in hospitals.
At the moment, Artificial Intelligence remains a complement to human capabilities and not a replacement.
Artificial Super Intelligent (ASI)
This type of is not yet developed — and it is not known if it will be developed — and consists of conscious and autonomous machines. Which means that they do not simply seek to replicate human behavior but to exceed it in all aspects.
Types of Artificial Intelligence
reactive machines
This is the most basic type of Artificial Intelligence of all. as its number indicates it can only react to human behavior when an action occurs. A reactive machine cannot store memory, finally, it cannot rely on past experiences to act accordingly and make decisions.
It was a widely used technology in the 1990s and is now becoming obsolete. His best-remembered example is Deep Blue, designed by IBM as a chess judging supercomputer that defeated international master Gary Kasparov at the time.
limited memory
The limited memory AI pcan store data and compile information based on past events to be able to make possible decisions, they are to decide, that is to say that the machine is exposed to information, a database related to previous interactions is created and it is the one that allows learning from the data for future processes.
We can see it today in systems like the chatbot and facial recognition.
Theory of mind
As your number says, this is a simple theory. Currently there is nothing developed in this form of AI that they affirm that machines know how to listen and decide to human beings through self-reflection in order to make their own decisions.
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self awareness
This type of Artificial Intelligence is classified within the category of ASI. It is the final step where the machine becomes aware of itself including all human emotions and reactions.
Getting its implementation will make machines capable of listening to the needs of others very much not only in what they communicate but in how they communicate.
Artificial Intelligence Applications
The applications of AI systems are numerous and can be applied to different sectors. One of the sectors where its implementation has been seen the most is in the health industry executing functions such as drug dosing for different patients. Let’s see some more.
recommendation engines
Thanks to Artificial Intelligence algorithms it is possible to discover data trends to use in marketing strategies. cross selling effective. This is very common in online stores that after the payment process recommend a similar product to the customer or one that can complement the one already chosen.
Social media
Social networks are one of the channels with the most news consumption, generating an innumerable amount of data from tweets, images, videos, etc.
AI in social networks is implemented with the facial verification and feature detection. A clear example of all its filters in applications such as Snapchat or Instagram.
The machine learning It also enters into social networks collecting data of your interest to, based on that, design your feeding.
Customer Support
It is becoming more and more common to enter a website that offers the client the possibility of a conversation with a Chatbot 24/7 to resolve doubts about topics such as shipments, personalized advice, suggestions, among others.
There are different levels of implementation to the point that, in its most advanced version, the chatbot can extract the information from the site and show the customer what he wants on time.
Another application of Artificial Intelligence within customer service is the use of VCA (virtual customer support). This system predicts and answers queries over the phone without the need for human interaction. In the event that the query is too complex for the system to resolve, the call will be redirected to a person with whom the user can interact directly.
Speech Recognition (ASR)
Via natural language processing (NLP) the machine processes human speech and transcribes it. Currently there are many smart devices that include this functionality to perform voice searches. An example of this is Siri.
home automation
Artificial intelligence applications are increasingly used in homes. There are devices such as smart switches, light bulbs, locks, doors that can be controlled through mobile systems or through voice.
There are thermostats on the market that maintain the ability to learn and anticipate weather conditions in such a way that it is possible to automate the cooling and heating of the place when the weather requires it.
artificial intelligence in surveillance
Artificial Intelligence has been evolving in the field of security. Thanks to facial recognition and the creation of different security algorithms, AI cameras can recognize potential threatsunknown persons in facilities, among other functions, and notify the human in charge to analyze the situation.
Benefits of Artificial Intelligence
Implement Artificial Intelligence both in the company and in everyday life to obtain great benefits related mainly to saving time in routine activities. Let’s see what other benefits the implementation of this technology brings:
- Reduction of human errors: The machines make decisions based on the information they collect, this makes the implementation method more accurate and precise.
- Automation and efficiency: The machines are available 24/7 so that the processes can be done faster and without waste. In addition, automation not only leads to high production and productivity, but also allows for the most efficient use of raw materials.
- Smart decisions: AI technology can provide forecasts, analyze trends, prevent changes, and quantify uncertainties so they can be determined to make better business decisions.
- Solving problems: Thanks to machine learning and deep learning, AI technology can be used to solve complex problems such as fraud detection, medical diagnosis, improving customer service, among others.
- Recurring tare management: Smart machines have the ability to process faster and more repetitively with better results. This allows humans to focus on much more complex tasks.
Why is AI important?
worm free What is artificial intelligence and how to apply it It is possible to conclude that there is great potential for the future. The demands for devices with intelligence have acquired a significant form and therefore it is important that companies join and implement it.
Similarly, it is essential to educate and train employees in the use of this technology so that they can carry it out in the best possible way and take full advantage of it. Not having smart machinery can lead to obsolescence and business failure.
What did you think of this article? Do you already use Artificial Intelligence in your company? Write in the comments.
If you want to learn about new technologies and applications in the company, we invite you to participate in the Master in Industry 4.0 and Artificial Intelligence. Learn to analyze and apply technologies such as Artificial Intelligence, Robotics, IoT, Blockchain, among others. We will wait for you!
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