El advance of Artificial Intelligence It is undeniable, and that is why there are numerous platforms and different techniques for its use. Knowing how many AIs exist and their properties will help you to correctly choose which one to use depending on your needs. It is important to know the scope and limitations of each AI, as well as its objectives and level of development.
Currently, with the permanent advances in the sector, Artificial Intelligence may seem incipient, but in a few months it can surprise. When analyzing How many AIs exist? You can also learn more about its scope, potential and restrictions. This helps generate a flow of information for learning that helps develop AI even faster.
How many AIs are there and how are they different?
La existence of different types of Artificial Intelligence AI is a response to different ways of trying to make machines think, solve problems and become more like humans. The concept has been in the works for years, but in recent years the progress has been very significant. When analyzing how many AIs exist, we find great work by the main companies responsible for technological progress such as Microsoft, Google and Apple, among others.
The Artificial Intelligences AIs do not belong to a world of utopias, they are among us and allow different actions to be carried out in an automated way. This is very useful in industries and in various productive and academic activities, but not all AIs serve the same purpose. In this article we explore How many AIs exist in general terms, and how they can be used depending on the type of objective set.
AI at your fingertips and learning from public use
Today a large part How many AIs exist?, among the most powerful and versatile, have free versions for personal use. There are even paid versions that also make available all kinds of services and tools that you can apply to your daily life. Depending on what you need to do, an Artificial Intelligence may provide you with ideas, inspiration or automated techniques to achieve your goal. So, check out this list of the best AIs out there and what they allow you to do in a matter of seconds.
Artificial Narrow Intelligence (ANI)
Artificial Narrow Intelligence is a technology designed to accomplish a single specific task intelligently. It cannot analyze, suggest or perform tasks outside of what it was created for. The most common example may be a function to detect smiles on your phone's camera. It is also used on e-commerce platforms to make suggestions based on your browsing.
General (AGI)
General Artificial Intelligence is focused on developing tools with a processing capacity and application to intellectual tasks similar to humans. They are still in full development and are not yet used by the general population. DeepMind is one of the projects of this type, backed by Google. It can analyze very large amounts of data and find creative solutions and proposals to large-scale problems.
The future of this type of intelligence seems to be the creation of multipurpose assistants. They will be able to analyze your inventory and sales catalog or manage areas of your own business.
Superior (ASI)
Knowing how many AIs exist, we find the category called Artificial Super IntelligenceThese theoretical models indicate the future that Artificial Intelligences in general are aiming for. They are systems with cognitive and learning capabilities very similar to those of the human mind. They could learn, reason and solve problems as well as make decisions. Spontaneous communication is another parameter that they could master. An ASI has not yet been created.
Reactive machines
This is a type of AI ordered according to its functionsMost of today's AI programs and apps work in a reactive manner. Take Google's AlphaGO, for example. It's a computer program designed to win at the board game GO. Siri, the iPhone's voice assistant, also falls into this category. Chatbots are another example of these AIs in action.
Limited memory machines
This type of Artificial Intelligence can save some past experiences and respond to situations with that information. But they only modify their behavior and response based on what they have stored, nothing more and nothing less. Application examples of this type of AI include drones and autonomous transport vehicles such as Tesla's Autopilot.
Rule-based systems
Among the current types of Artificial Intelligence, this is one of the most common. The technology is based on a series of basic guidelines that were established by the programmer. There is no way out of them. There are different sectors of the technological world that use this modality. For example, payment systems or biometric analysis mechanisms for user identification.
Intelligence through decision trees
This is a slightly more complex type of Artificial Intelligence. It learns and processes data based on multiple choice sequences that can interact with the decision. The numerous advances in machine learning technology make it possible to design these complex decision trees. Data mining is one of the areas where it is most applied, being able to analyze the different habits of the user and then act accordingly to offer an improved experience in each case.
Deep learning
This Artificial Intelligence technology is a evolution of neural networks. This is the type of AI that major technology developers are targeting today. It increases the number of hidden layers of processing and the power needed to carry it out. They can calculate more data and their responses are more elaborate.
Today they are booming and their application is gradually reaching different platforms. Deep learning concept It allows us to think of tools that can be asked for creative responses and processes with different knowledge bases and starting data. Thus, the creation of paintings, videos, photos or texts becomes much more automated and also versatile.