One of the most significant advantages of artificial intelligence (AI) is that it promotes and amplifies other technologies’ capabilities, such as Big Data. AI allows software engineers to “make sense” of large quantities of structured and unstructured data.
Different types of tests that imply using the above technologies have been promoted in the quality assurance field for some time now. They have had a positive impact on different organizations when optimizing testing processes and guaranteeing quality.
Importance
Advances in AI have propelled Big Data’s use to process immense quantities of data that provide commercial and business advantages. Thanks to this function, AI is now positioned as the essential technology of the coming decades in transport, education, health, culture, and much more.
Most Widely-Used Algorithms
The AI currently in use is the so-called “weak artificial intelligence.” In other words, it’s intelligence that cannot be equated with human intelligence. It cannot ‘invent’ or ‘create,’ but it can find statistical inferences or process data in a “relational” manner.
- In the cameras of mobile devices, scene identification allows applications to automate certain specific parameters depending on the identified scene. In the image gallery of the Huawei Mate 20, you can find comprehensive image classification once the picture’s motif has been identified. Even in videos, the Mate 20 analyzes the recorded sequence looking for representative moments and makes mini-edits automatically.
- Language translation is another case that identifies what’s seen in an image or in what the camera captures to detect the words you want to translate. Also, voice recognition “listens” to what the speaker says in a particular language and translates it into another.
Context
One of the main challenges of AI is identifying the context you find yourself in to anticipate your requests or automate actions. The latter is a significant challenge, and it cannot always be managed using Deep Learning methods. The operating system is also an essential component that allows mobile devices to behave “intelligently.”
Other applications such as Shazam “listen” and Google Maps allow you to know your location. In the future, it may be possible for an operating system to be able to capture data generated by these apps and others to offer a unified, orderly, and interactive vision of the user’s context. In this way, for example, if you are having a conversation about movies, your smartphone can search for information regarding actors, dates, and other facts in the background and will have them ready in case you require them.
Real Examples
- In the Huawei Mate 20 and 20 Pro, the video application recognizes people in a scene and allows you to recreate digital effects over the person and the background. To do this, the app must identify the person(s) in the scene; it analyzes each “frame” and finds the pixels that compose the person in the image, differentiating them from those of the background.
- In a nutshell, the AI apps we mainly find nowadays focus on the “smart” processing of images, identifying people, depth, animals, and other objects.
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