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Mobail Phone with AI Technology.

 Mobail Phone & AI Technology.



More and more phones are introducing powerful processors for deep learning based on neural networks. This technology allows the cell phone to choose how to handle its resources to achieve greater speed and energy efficiency. In recent months there has been a lot of talk about the advent of cell phone technology. In fact, it is a feature that many companies highlight when defining their products. LG, for example, has announced that it will be launching a new version of its LG V30 that will incorporate artificial intelligence into its camera, as well as other good features associated with Google Assistant.

The average person monitors his or her calls for more than 2.5 hours and makes an average of 35,000 decisions, in one day. The fact is, we often use one to help another. Our smartphones help us to choose what we need to do. Even now, Artificial Intelligence (AI) is a big part of how you use your smartphone. And the support you get from your mobile phone is about to increase. AI makes your phone the best wingman in the world.Artificial Intelligence is a way of helping computers 'learn' for example from big data sets - also known as MLs. AI and ML allow computers to access information and rules the way a person does, without having to set specific ‘rules’ for everything that might happen. In short, AI helps computers add the next possibility, based on patterns they have seen in similar situations, before.

What does AI in mobile technology mean to marketers.



AI marketing 'Holy Grail'. The purpose of every marketing manager is to identify customer needs and deliver a product (even if new design is required) that meets those needs. Mobile technology, especially cell phones, provides unprecedented information on human behavior and reveals facts that have never been discovered before. AI makes filtering that data understandable. The result is a clearer understanding of customer needs and a clearer purpose for advertisers. Just look at how the two concepts (AI / ML and Mobile) are actually connected. Huawei's Mate range, Samsung's Galaxy, Google Pixel phones, and Apple iPhones all now have special hardware, designed to perform high-level AI functions. The capacity was only 3% of calls in 2017 - it was up to 35% of all mobile phones sold by 2020. just as some names act as a prepaid application or mobile data.

Last year Huawei announced, with all its glory, the arrival of its Kirin 970 chip, which includes a neuronal processing unit and part of the Mate 10, while Apple boasted of its A11 Bionic neuronal engine, available on the iPhone 8, 8 Plus and X. Samsung, meanwhile, has announced its Exynos 9810 chip, which is also based on neural networks such as Qualcomm's Snapdragon 845. The Galaxy S9 and S9 + will include one of these last two processors, depending on the country in which they are sold. Samsung has made it clear with its Galaxy S9 that it will incorporate artificial intelligence into the operation of the camera, which translates text into real time. This feature includes Google Translate Word Lens technology and Bixby personal assistant. According to the company, it will be able to translate into up to 54 languages. Also, when taking pictures in low light conditions, the calls 'decide' between the f / 2.4 sensor and the f / 1.5 sensor.

Google Pixel 2 has a co-processor, called Pixel Visual Core, which includes eight image processing units, supported by machine learning. ARM, for its part, has launched the Trillium Project, which focuses on chips with integrated intelligence (AI) intelligence.

In-depth learning-related activities are often found on cell phones where, for example, Google's images are used, which automatically detects and collects images. However, in the above-mentioned cases, it is intended to move one step further and integrate this technology into teams in order to streamline processes. When people talk about the advent of cellular artificial intelligence, they are referring to processors with neural processing networks., to choose how to handle its resources in order to function best.


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