We believe that Artificial Intelligence, AI, will have the greatest impact when everyone has access to it. "This is a phrase taken from the Google page on AI, but what does it mean?

Andre Atique, CTS *

Speaking of the concept, artificial intelligence is responsible for making machines act rationally, as people. Google presents summarized in its page on AI, questions about the formulation of thought, ability to reason logically and issues concerning the construction of AI, but that make the analysis very subjective.

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The human mind is the reference for the development of an AI, however, its construction of thought is not as logical as that. People can have different lines of thought depending on creation, social influence, studies, etc., and that does not mean that some think and others do not. All of them think and present coherent answers!

Therefore, what must be evaluated is how the machine responds to an input of information and not "the philosophical rows" (cognitive science and computational neuroscience) that it assumed to present the answer. In this way one of the most appropriate ways to deal with the issue is the definition that "it does not matter how a machine thinks, but how it behaves", that is, what matters is the final result and not how it did to achieve it.

It is part of the artificial intelligence of the machine to obtain, obtain and treat in a rational way, information coming from diverse sources such as: text, image, sound, among others. In order for the machines to have the right data for decision-making, it is essential to think not only about the capture, but also about the treatment of these. Just to illustrate this treatment of information, I present concepts such as NLP (natural language processing), Machine Learning and Deep Learning, which we will see below.

NLP - When we talk about texts, if we analyze the phrases "José is going to travel by plane." He is afraid of height ", we associate high fear with José because the plane does not feel afraid, but the machine does not know it. It is necessary to use the NLP which aims to bring a contextualization to the machine.This is quite used in Google Translate, for example.A word can change its meaning depending on the context.As the words have been corrected, Google Translate through of NLP is "learning" to translate them according to the context.

Machine Learning - Machine Learning works with obtaining information through data entries by the user, seeking the adaptation and improvement of these activities, for example: when you classify movies on Netflix or even when you only attend them, for your History of the likes and views of Netflix through Machine Learning allows you to suggest movies that you probably will not be disappointed with.
Deep Learning - Deep Learning is a type of Machine Learning, but which aims to make tangible abstract information such as static images, dynamic images, behavioral analysis of customers, disease detection process and related. Example: Imagine that you only took a picture of your dog and did not put any identifier on it as a legend, label, etc. In the area of ​​"search" of your device you place the race "Golden Retriever" (breed of your dog) and the photo you have taken out comes! This is an example of Deep Learning.

And the most impressive thing is that all technology users are helping companies such as Google, Apple, Facebook, etc., to have more and more precise algorithms, without realizing it. You have probably already filled out a registration form on a web page where at the end of it a test appeared to make sure that you are not a robot. In this test you need to click on the images that show a "truck" for example. In addition to showing you that you are not a robot, you are also helping Google to make its algorithm of Deep Learning more assertive.

The AV + IA market
The audiovisual industry is present everywhere. Large or small, simple or complex audio systems, network structures of local or global computers, automation and IoT (Internet of Things), are examples of the industry present in corporations and residences. It is a trend that some types of hardware cease to exist to become a service, since the Bluray Player was replaced by streaming video services, the CD Player was replaced by streaming audio services, in many places the local TV sets they were discarded because of the increase in the use of mobile devices.

Video conferencing codecs are being replaced by the BYOD concept (Bring Your Own Device), added to a Cloud platform, etc. There are several examples of how the audiovisual industry has migrated to networked solutions and that is not just a trend in this segment, but a consequence of the global technology market that was breaking the same track.

With the information being centralized in web services, users and companies opened a direct channel for the constant exchange of information, thus establishing a great avenue for the AI. Mark Zuckerberg, founding partner of Facebook, at the end of 2016 published a video where he operates his house with an AI assistant named Jarvis. This AI assistant interacts with Mark through voice commands using two communication channels, where the question and the answer can start from both him and Mark.

In this video through Jarvis, Mark operates the curtains of the house, lights, air conditioning, has access to his agenda, news feed and even monitors his daughter Max and teaches him Mandarin. Well, this seems to be very exaggerated, but the technology industry is aiming at an entire proximity between systems and users and with certainty, that will reach the audiovisual industry.

It is part of the concept of residential and corporate automation, in addition to the unified and simplified control, making the system capable of taking some actions without requiring the intervention of the user according to local conditions or not, for example: "If natural light is very strong, lower the curtains, "" if natural lighting is clarifying the place, decrease the intensity of artificial lighting, "" if there is no one in the room, turn it off, "and there are many other examples like them.

What the AI ​​is proposing is that not only tangible information is treated as digital or analogue signal inputs from the sensors, but a whole level with the user throughout his life and everywhere. Imagine having integrated beyond your technological assets, all the information of your musical preferences and the system to warn about shows and events, scenes of light and they always adjust automatically according to your history of drives, favorite movies and the system alerts you In the cinema and on streaming platforms, leisure activities and through RSS the system directs you to the best option according to the weather / schedule / transit, the house having an animated and well humored AVATAR which you can interact with text and voice message, local or remote, and there goes. With the AI, the control and whole ways with the technological devices and, consequently with the audiovisual industry, remained endless.

Speaking about the implementation of systems, today every multimedia and automation project needs to go through an analysis of the client's needs and pre-requisites of the system. Within the standards of the AVIXA there is the programming phase (Programming Phase) where lies the analysis of the needs of the client (Need Analysis), a fundamental part for the development of a good system to respect the importance of data collection before the design and subsequent stages of the project.

This helps keep the customer satisfied from the start of the system design. All this process of analysis is fundamental and probably will never cease to exist, however the implementation of the system according to the needs of the client can undergo considerable changes. Currently, after the start-up of the system it is healthy to accompany the use of this by the user and to promote some adaptations in the programming, seeking to adapt it completely to the user's taste. Following the line of the previous paragraph and joining with Machine Learning, this adaptation can be done by the automation system itself using IA. Satisfaction guaranteed without major human environments!

Now, the Avatar seemed somewhat surreal, right? In fact, interacting with a machine at this level of intimacy seems crazy, but how crazy is that? The film industry has already explored the subject with the movie "Her". A lone man named Mr Theodore created an operating system with AI to stop feeling lonely. This system was learning about Mr Theodore to the point of getting to be a perfect "person" for him.

Of course, in the movie Mr. Theodore fell in love with the operating system, but the question at stake is: can an operating system supply the loneliness of a person? Alan Turing (1912-1954), an influential British mathematician and scientist in the development of computer science, developed a behavioral test for a machine, where people and machines begin to interact virtually with questions and answers. This test was named "Turing Test". The objective is not to give correct answers, but to make the behavior of the machine equal to that of a human being.

In 2012 a machine managed to pass for a human and the judge does not know if in fact it was a machine or a human. There is a company called Gatebox that specializes in creating an animated character that works like a person in the house. This character wants you "good day", talks about the schedule, forecast of time, interacts by voice and text, makes you company in domestic activities and all that with a lot of personality and personality. It even seems that you are in fact living with someone inside the house.

Going back to the beginning, what Google meant by the phrase: "Do we believe that Artificial Intelligence (AI) will have the greatest impact when everyone has access to it?" AI pursues rationality with personality, everything will be molded to the user's taste and the way this will be done will impact everyone's life forever, the audiovisual industry is already following this path, but what about you?

* Andre Atique, CTS, began his career in the residential and corporate automation market at 2008 with academic trainings. After this teaching period, he migrated to the area of ​​business development, participating in the main projects of the AV industry in Brazil. Today he is a commercial manager at AW Digital, technology division of Athié Wohnrath.

Richard Santa, RAVT
Author: Richard Santa, RAVT
Editor
Journalist from the University of Antioquia (2010), with experience in technology and economics. Editor of the magazines TVyVideo + Radio and AVI Latin America. Academic Coordinator of TecnoTelevisión & Radio.

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