If there is one area of ​​technology that is evolving rapidly, it is artificial intelligence. But we need to be clear about something: this is not really intelligence, but rather a statistical technology capable of processing vast amounts of data in real time to find patterns that allow us to make decisions. In some current televisions, this learning has particularly interesting areas of application: image, to recognize elements or people, and sound, for language processing.

But although this is more machine learning More than an isolated idea, this technology opens the doors to applications as interesting as those found by Sony in its new range of Bravia of intelligence algorithms, and not artificially, but cognitively.

The Cognitive Processor XR is the evolution of the image processors that Sony has been using in its televisions for years.

Today, Sony has launched two television models on the Ecuadorian market, one of the OLED A80L series (a model available in 77 and 65 inches) and another, the X90L series, an LED model with Full Array technology, which is designed to provide higher brightness on the screen.

These models also include the industry’s first cognitive processor, which uses this technology to improve picture and sound quality. These TVs offer improvements in contrast, color, detail and motion, plus multi-channel sound capabilities.

What is the processor of a television for?

The picture and sound processors in televisions are responsible for analyzing and, if necessary, enhancing the audio and video content coming in through HDMI connections. The goal is to optimally utilize the capabilities of the screens and sound systems that manufacturers implement in solutions such as the Bravia XR.

Without a good image processor, 1080p content on a 4K TV would look quite poor, with pixelated images and poor color definition in most cases. It’s not enough to ‘invent’ pixels to make up the difference in resolution between 1080p and 4K or between 4K and 8K; You have to color them with a certain logic, and that is one of the tasks of the image processor.

The same thing happens with audio. If you have a stereo source and the user wants a multi-channel experience, you need to identify the position of the elements in the image and guess what sound sources there are and place them in the room.

So in this case, the term ‘artificial intelligence’ in televisions refers to algorithms of machine learning And deep learningg that imitate human perception.

The artificial intelligence that a processor like that of the Bravia XR uses is the result of ‘training’ the algorithms in large data centers. machine learning And deep learning which Sony designed to imitate the cognitive experience of humans.

Through this training, using vast amounts of audiovisual material, these algorithms find complex patterns and relationships that enable the identification of numerous elements in the audio and video.

The cognitive XR processor analyzes them all frame of video, identifying aspects such as clarity, detail, color and focus points.

In sound processing, Bravia XR televisions mimic the spatial location of sound and are compatible with Dolby Atmos.

These televisions offer picture enhancements inspired by the way the human brain perceives what it sees with its eyes. As a result of the cognitive processing of the XR image processor, which traverses hundreds of parameters in real time, we have improvements in contrast (XR Contrast), color (XR Color and XR Triluminos Pro), detail (XR Clarity) or motion (XRMotion). Also in aspects with HDR.

This cognitive processing is used, for example, in Sony 8K televisions to improve the reconstruction of textures and details when upscaling 4K or lower resolution content to 8K (XR Super Resolution).

This new line from Sony offers LED and OLED LCD panels with resolutions up to 8K, with Full Array LED backlighting for high contrast. (JO)