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2025-01-28 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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CTOnews.com July 25 news, market research firm IDC predicts that with the rapid iteration and development of artificial intelligence in recent years, the data model is becoming more and more perfect. The scene landing of AI will become an important breakthrough in the future development, and the AI of the terminal will also become an important supporting direction for the development and landing of AI.
▲ image source Pexels many manufacturers have launched many mobile processors equipped with hardware AI engine. The new technology can not only enhance the local AI computing power of notebook computers, but also promote consumers to upgrade their devices. Whether the terminal equipment integrates the hardware AI engine and the performance of the AI engine will become an important reference factor for consumers to buy new equipment.
As a result, IDC predicts that by 2026, nearly 50% of the terminal devices in the Chinese market will have AI engine technology on their processors. IDC also believes that in the future, AI terminals will be widely developed in 10 major areas. CTOnews.com collates the relevant information as follows:
In the future of creation and creativity, AI can be used to generate creative works, such as art, music, literature and so on. It can help artists and creators generate new ideas and designs, and bring interesting experiences for personal PC and tablet users.
Games and virtual worlds AI can be used to generate scenes and characters in games to help game developers create more realistic and rich virtual worlds. Whether it is PC, tablet, smartphone, VR and other game platforms, with the game engine equipped with AI, players can experience more realistic game effects while using fewer resources.
Speech synthesis and conversion AI can be used for speech synthesis, generate sound, and convert text into natural and smooth speech. It can also be used to generate sound effects, such as converting ordinary sound into a specific style of sound, which will be widely used in the future office field.
Vision and image processing AI will be widely used in the field of image processing, such as image generation, style transfer, super-resolution image reconstruction and so on. These technologies will give PC users more choices in image editing and beautification.
Chat robots AI can be used to develop chat robots that can engage in "natural conversation". These robots can provide human beings with "approachable" services. in the future, smart home devices will be able to understand consumers' ideas more easily, and the office efficiency of enterprises that use this technology will also be improved.
Personalized recommendation AI can be used for personalized recommendation, according to users' interests and preferences to generate personalized recommendation content, such as movies, music, goods, etc., the future AI model will jump away from the existing mechanical algorithm, can better understand the personalized needs of consumers, so as to recommend more products that meet the needs of users.
Medical-assisted AI can be used in medical image processing to assist doctors in disease diagnosis and treatment.
AI technology of face recognition image classification has been widely used in smart phones, and this function will be added to more terminals in the future, so that users can better manage security information.
Automated error correction and content generation AI can be used to automatically generate web content, news reports, product descriptions, etc., which will increase productivity and save time.
At the same time, it can provide users with a series of text suggestions, correct users' spelling mistakes and improve their grammar, which can make users work more efficiently.
Local computing AI biometrics and other technologies will be widely used in the terminal field, and the chip with AI engine makes the training model can also be calculated locally with lower performance, thus saying goodbye to cloud-based data analysis and reducing the risk of privacy leakage of consumers and enterprises.
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