In this generation of several mobile phone chip platforms, such as Qualcomm, Apple A series, Huawei Unicorn 970 and so on, AI has become a standard. In the field of artificial intelligence chips, Apple, Huawei, and Samsung Electronics began their third round of competition. Although Samsung started late, according to Korean media reports, Samsung has invested heavily in the field of artificial intelligence chips, and is already at the same level as Huawei and Apple. Regardless of how these bosses fight, as consumers, there may be many people wondering whether AI chips are really useful or just a gimmick. Of course, manufacturers naturally want everyone to believe that they have developed smart enough chips to think for themselves or to imitate human brains. They use smarter chips. However, we must be clear that even the world's top laboratories cannot achieve this level of artificial intelligence. The ideal is good, but the reality is cruel. Therefore, on the AI ​​chip of smart phones, some manufacturers' advertisements are indeed exaggerated. However, although these smart chips are not as cool as advertised, it is undeniable that the new processors do have many practical benefits that can make mobile phones more intelligent. Here comes the question. What practical use does the AI ​​chip have for us? For the AI ​​chip, we often hear the word “deep learningâ€. This is a kind of machine learning ability. It tries to imitate the multi-layer calculations of the human brain. Similar circuits in the human brain are called neural networks. Based on us Neural network in the brain. For example, today when information is seriously leaked, each of us may receive a lot of spam every day. The general spam blocking software is identified based on pre-programmed programming. Once the mail has changed, it doesn't work. The identification process of AI is more scientific and it can learn to identify spam. Regardless of these messages, "a few feet higher," AI's spam retrieval system can "tune high." In addition, this kind of “deep learning†is also reflected in more fields. For example, the most famous example of image recognition is to recognize the appearance of a dog from a picture of 1 million dogs. For many blind people, it may be difficult to find one out of dozens of people, let alone find a dog. Apple abandoned the classic fingerprint recognition on iPhone X, replaced it with FaceID, and opened a new way to unlock facial features. As we all know, there may be some more intense changes in the face over time. Under normal circumstances, some machines are unable to sense our facial changes in time, creating an embarrassment that cannot be unlocked. Such as gaining weight, makeup and so on. But the machine that joins AI is different, AI is able to adapt to this face change that occurs over time, and can make adjustments to adapt to this change. Apple FaceID is also based on the AI ​​function of the A11 bionic chip, so it can confidently say: "When you wear glasses, hats or beards, your friends may not recognize you at a glance, but the iPhone X can." And Huawei's proud picture-taking scene intelligence is also based on AI's credit. Mate10 can automatically identify and analyze the camera scene. It can identify what kind of object appears in the shot and adjust the photo according to the algorithm. Such as food, flowers, text, animals, snow, night and so on. The power behind this scene recognition is the NUP-specific processing unit of the Unicorn 970. Through this AI capabilities brought about by the camera scene recognition. In the future, it may even be possible to reconstruct our photo experience and bring the photos into the intelligent era. The real realization of each film is a large film. Most of the former voice assistants may feel a bit artificial and mentally retarded, and many people are also interested in "teasing" Siri and Alexa. With the addition of AI, voice assistants can understand you and say more, and naturally they can do more for you. In fact, according to Jun Wang, many consumers think that AI chips are manufacturers' gimmicks because many domestic brands are keen to focus on hot spots, popularizing a "fire and arsenal" approach and watching "artificial intelligence." "More, we spare no effort to exaggerate the word, so that everyone has great hopes for the product, but the actual experience was found to be not the case. Naturally it feels deceived. As the saying goes, "Once we were bitten by a snake, we were afraid of a rope for ten years." This recognition will also be relocated. All in all, although the current AI chips are not as hype as the vendors say, they are not sensational to the AI ​​processor. It does provide better support for mobile phones and other technologies. With the increasing role of AI on mobile phones, each of us needs an AI chip that is almost certain. Now these chips are only used for a small part of the task, but with the development of technology, the importance of AI chips will only become larger and larger. Therefore, AI is still worth looking forward to on smart phones. Original Electronics Technology (Suzhou) Co., Ltd. , https://www.original-te.com