"AI development has been done since last year," said Cheetah Mobile vice president Johnny Li in Jakarta, some time ago. The AI-based technology platform brings new opportunities to mobile utility space, as well as promotes the advancement of mobile content products.
PhotoGrid, transfer style and facial recognition from AI technology are the main foundation behind a number of special effects on the application. For example, the 'twinkle' effect as the first feature supported by AI so as to change the photo to look like shine. Then the style transfer technology is also applied to the 'venus' filter. Users can combine faces with different characters, such as the example of a woman can combine her face into a fairy-faced woman.
PhotoGrid application can also be applied to animation filters with a smoother effect on the wearer's face. In fact, AI is able to classify images to recognize and delete 'erotic' spicy contents. Now, PhotoGrid is being planted AI in the form of deep learning to be able to understand its users. Deep learning is expected to provide personalized recommendations specifically for photo editing effects and filters.
AI deep learning technology is also applied to Cheetah Keyboard applications. This allows the app to analyze data and 'learn' about 2 billion words and phrases. Especially Indonesian users, Cheetah Keyboard will continue to expand the scale of the language used. Another advantage, the efficiency and accuracy of typing text is largely reinforced with predictive text technology.
These features can be used as suggestions for replying to text messages and auto correction. Not only on Cheetah Keyboard, deep learning also pinned on other applications, namely Clean Master Launcher. The use of AI is able to analyze the behavior of mobile phones over time. It can be used to recommend a personalized theme for its users.
Cheetah Mobile also reorganized content-based apps with AI support. One of them is Live.me app companies that employ real-time image recognition technology to recognize, tag and filter images that are not good, or detect violent and inappropriate content. The Live.me app wants to implement clean and healthy internet usage around the world.
Face detection can also be used in the application. For example, when you want to apply effects on the face, then the effect will only appear when detecting the human face. Today Cheetah Mobile users as a whole have reached 500 million worldwide. These users, including the flagship applications PhotoGrid, Clean Master, Clean Master Launcher, and Cheetah Keyboard.
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