The application of future AI in mobile phone

The current development of artificial intelligence, more emphasis on the absolute role of technology, but in fact the application is also very important, technology values, rules and purpose-oriented is also very important. Perception, judgment, thinking, analysis, learning, adaptation and other areas, respectively, have the corresponding technology to move forward, these areas are organically combined to apply it is now more important things. Creators need to know the weaknesses and strengths of each technology in the present, need to understand how to avoid weaknesses, to maximize the value of technology and better service for humanity, which is no less than the subject of technical research and development.

About the future of hardware differentiation and innovation, there are five innovations, including display, photography, connectivity, sensors and processors five major aspects. Lu Junquan emphasized, including AMOLED, 18:9 full screen, dual camera, 3D camera, biosensor and so on.

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In particular, the use of AI-based biometric recognition technology will be a hot trend in the future. Fingerprint identification is only a one-time biometric recognition, and through such as 3D camera user detection or walk behavior authentication, can achieve continuous detection technology. "For example, I install Accelerators and gyroscopes on my watch, and when I pay with my watch, I don't have to enter any passwords or fingerprints, and it already knows if you're the right user." ”

In addition to the use of secure authentication, AI or machine learning technology will be a personal assistant in the future on mobile phones, Lu Junquan, for example, "machine learning can be combined with power saving, such as 9 o'clock to 12 every night, I will use the phone before going to bed, if the machine can pre-sentence or learn my behavior, know 10-12 points, I will definitely use the phone, then it will not turn off the background, or when I open the screen, will automatically jump out of the app I need. Or it knows that I don't play games at some point in time, so when I put the game back in the background it automatically shuts down.

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Previously, these aspects had to be done through a mobile butler or a key-clearing, but when machine learning was sufficient, the machine could help the user to operate for a better user experience. "In addition, through artificial intelligence, you can also classify photos, the past Google classification of photos need to upload files to the cloud processing, but if you want to ensure privacy, such as the machine learning AI must be placed on the local side.

Another example of AI is the post-preemption app era, as apps become more complex, facing two big problems, one unclear whether they can reach the groups they need, and the ability to look for an application under a platform-based aggregator app is tedious. So with the depth of AI, virtual personal assistants are likely to replace apps, such as bank transfers, which can be achieved with just a few words.

As AI becomes more and more intelligent, biometric technology is also facing many challenges, such as texture recognition technology is only one-time verification, face recognition technology is subject to light or sunlight and other factors, speech recognition technology is difficult to distinguish who talk to it and so on, these problems are the future needs to be resolved.

In addition, the future of artificial intelligence can have emotional aspects, including through face recognition to achieve emotional judgment, as well as through the tone of speech judgment and so on.

The application of future AI in mobile phone