ai: terminals and the future

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in recent years, ai has been used in more and more applications, from voice assistants to autonomous driving, from smart homes to medical diagnosis. ai has penetrated into various fields and brought great convenience to people's lives. however, the development of ai is also facing new challenges and opportunities. as a shortcut to the popularization of artificial intelligence, mobile phones also bear tremendous pressure for the development of ai.

on the one hand, mobile phones, as the "entrance" to the popularization of ai, play an indispensable role in many scenarios. for example, wechat, douyin, didi, meituan, etc., all rely on mobile platforms to function. on the other hand, ai is also facing a terminal dilemma. in addition to smartphones, other terminal devices, such as smart glasses, virtual reality headsets, smart tvs, and car computers, are still exploring new application scenarios.

therefore, how to break through the terminal dilemma and make ai development more healthy and stable has become the key point for the future of ai.

the development direction of ai: from mobile phones to a broader ecosystem

some companies have begun to realize that the development of ai needs to go beyond the limitations of mobile phones and move towards a broader ecosystem. for example, alibaba and baidu hope to become leaders in the ai ​​era and gather millions of developers to build a broader ai platform ecosystem. robin li said at the world artificial intelligence summit that we need to avoid falling into the "super application trap" and develop an application that can meet the needs of 1 billion daily active users to be considered successful.

the future of ai: the balance between terminals and ecosystem

as ai technology continues to advance, we see more possibilities. for example, smart driving technology is gradually maturing, and some companies have begun to develop autonomous driving systems and apply autonomous driving technology to various scenarios. at the same time, the number of connections of iot devices continues to grow, but the central position is still controlled by smartphones and computers. with the development of ai technology, we can expect iot devices to be better utilized and bring greater convenience to people's lives.

the future of ai: breaking through the limitations of terminals

terminal devices and ecological development are key factors driving the future development of ai. with the continuous advancement of ai technology, we see more possibilities. for example, intelligent driving technology is gradually maturing, and some companies have begun to develop autonomous driving systems to apply autonomous driving technology to various scenarios. at the same time, the number of connections of iot devices continues to grow, but the central position is still controlled by smartphones and computers. with the development of ai technology, we can expect iot devices to be better utilized and bring greater convenience to people's lives.