These are the forms of artificial intelligence that will set trends in 2020

 

  • Artificial intelligence is already applied to areas as diverse as a mobile operation, marketing, or computer security.
  • Some of these disciplines will be a trend during 2019, demonstrating its true potential and opening new paths for its development.
  • The evolution of the hardware in 2019 will make more common the presence of local artificial intelligence agents integrated into the devices that do not need data connection with the cloud to function.
No one doubts that artificial intelligence has come to stay and can not do anything but evolve to expand its uses and improve their skills.
Artificial intelligence is divided into different specialized subdisciplines in certain fields. These are some of these subdisciplines that will become relevant and will mark a trend in 2019 for their advances.

Cognitive artificial intelligence

The cognitive artificial intelligence is one that can recognize and react to visual information, sounds, or gestures encouraging a more natural and closer to the way we use regularly interact with human relationship.
   
In 2018, we saw how the advances in voice recognition of artificial intelligence allowed us to create artificial conversational intelligence systems capable of interacting with people using a natural language.
 
One of the trends that we will see in the advances of artificial intelligence in 2019 is the improvement of this type of artificial intelligence, especially about the recognition of objects, faces, and gestures.
Improvements in artificial intelligence processing hardware, such as the integration of NPU units dedicated to artificial intelligence tasks in mobile phones such as the Huawei Mate 20 Pro, have been a huge push in this area providing an object recognition system using integrated artificial intelligence in the camera of the device.
This technology facilitates the configuration of the camera and simplifies the search for information about products, works of art, or monuments on the Internet. But the best of this technology is still to come and will be developed to a great extent throughout 2019.

Virtual wizards that get off the cloud

Directly related to the technology of natural language recognition and object recognition, there is the development of artificial intelligence agents designed to interact directly with people, carrying out customer service tasks, technical support, or, why, no personal assistant.

The chatbots or conversational assistants are not new as they were one of the first forms of artificial intelligence. However, they had never reached such a pure level of sophistication as that achieved today.
 
Far from stopping, the development of virtual assistants systems at the service of users directs their steps to disassociate themselves completely from the cloud to carry out their tasks, eliminating the need for connections to generate a satisfactory response to the user.
The Huawei Mate X, one of the most advanced and innovative mobile phones that we have seen at the Mobile World Congress 2019, follows the path traced by the Mate 20 mobile phones, incorporating an artificial intelligence assistant integrated into the processor that, through learning automatic, it helps the user carry out text translations in real-time without needing a data connection that connects it to an external server.
The presence of this artificial intelligence at the local level, integrated with more and more devices, will be one of the great technological challenges that technology will face during 2019.

Predictive patterns

One of the areas that have been most explored in recent years is that which is dedicated to the mass analysis of data through Big Data and automatic learning to detect predictive patterns that can be used in the future to get ahead of certain situations.


To date, this discovery of patterns through artificial intelligence and data intelligence is being used to predict in advance droughts or climate changes, migratory movements of people, or animals, but other utilities are also being studied that will be a trend during 2019.
 
In fact, one of the trends that are expected to have greater growth is aimed at targeted advertising or forecasting of audiences.
The application of automatic learning and artificial intelligence can predict user behaviors from the data collected during a time history, and detect patterns of interest towards certain entertainment content, fashion trends, etc.
The detection of patterns and trends is an important tool in the hands of the commercial, production, and marketing departments since it allows them to know in advance what their users will need even before they know it.
This seems to come out of a science fiction movie is not at all because, today, we can enjoy some of that technology in the operation of the most advanced phones.
The artificial intelligence integrated with these mobiles learns user habits and adapts its operation to anticipate their needs, optimizing the operation of the terminal.
Thanks to this artificial intelligence, the battery life is increased and the mobile phone stays in better conditions of use for a longer time without the user having to worry about anything. You only have to use the mobile so that the artificial intelligence learns of your needs.

Computer security is driven by artificial intelligence

The artificial intelligence applied to computer security is about to experience a revolution in cyber defense networks and devices.
This is an area in which research has barely begun, but which has already shown the first signs of becoming an important tool in the fight against malware and cybercrime and in the protection of users.













The security driven by artificial intelligence and machine learning has begun to be used to predict patterns of attack and provide better response times to attack Zero Day, which are those attacks and vulnerabilities that have not yet been registered and for which there is no " vaccine "to solve it.
The tools of computer security defense based on artificial intelligence learn the behavior of attackers using machine learning. Then, by using big data, patterns are established with which they anticipate attacks and neutralize them even before they occur.

Digital cufflinks

The concept of digital twins or Twins will be one of the trends in artificial intelligence that will evolve the most in 2019.
This technology consists of creating an identical digital copy of something real and taking it to a virtual environment to know in advance, through simulations based on artificial intelligence and big data, what would happen to the real one in different scenarios.

An example of the use of this technology could be applied to the construction of buildings, vehicles, aircraft, etc. Engineers can create virtual models of their designs and submit them to tests that emulate the resistance to an impact, an earthquake, and even the durability of the materials by detecting hidden manufacturing faults even before starting to produce them.
This, obviously, has a great interest in the industry since it will save costs and guarantee a higher quality in the manufacture avoiding design failures.

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