More than the temperature can accurately predict the arrival of spring, is the big mobile phone manufacturers' eager to move. In March, all mobile phone brands began to launch a new year's offensive. Interestingly, last year's "several AI" AI has become a key word in the domestic mobile phone circle. Or a mobile phone with a real or fake AI name will generally instill a consumer's understanding: With AI, your mobile phone will be more capable. Of course, the most mentioned ones are photography skills. Others such as beauty, translation, and mapping are also the key areas of publicity for manufacturers. Similar propaganda is much more, and it seems that we will form a point: the role of AI is to enhance. It is a fact that AI can generally enhance the capabilities of mobile phones and applications. But after using this narrative strategy, we are likely to ignore another possibility: as a kind of technology that loads a variety of solutions, AI can be used as a basic condition, allowing developers to create a kind of today we don’t Familiar, even no concept mobile app. And just when this "unknown ability" is popular, the value of AI in mobile phones will be irreplaceable. Where does this “unknown†opportunity come from? What are the conditions for incubating it? Here are some brain holes on mobile AI that are built on known conditions. The reason why I look forward to some new and popular application experiences in the AI ​​era is because all the popular mobile applications have been built on the computing and hardware structure that smartphones have established since the beginning. Chip + touch screen interaction + camera + GPS, constitutes the basic carrier of all social, O2O, shopping and entertainment functions in our mobile phone. The underlying conditions for these capabilities are fixed very early, and developers are rushing to make new experiences and business models based on these foundations. And AI is changing these foundations. At present, the basic ability of AI to bring to mobile phones can be mainly reflected in four aspects: First , video and live broadcast: Everyone knows that AI is changing the way we understand and process video. In real-time computing through the AI ​​chip, it is possible to perform face and gesture, human body gesture recognition, and portrait segmentation and video stylization in mobile video. Second, AR: A better augmented reality experience on the mobile phone, can not leave the help of AI. The value of algorithms such as depth estimation, ray estimation, and environmental understanding can help ARs that are more in line with market expectations. And these capabilities don't just affect AR. Third , photography: AI photo stylization and portrait depth processing, is not new. Next, using AI for image enhancement, processing light and shadow capture and dynamic capture will become new highlights. Fourth , identification: using AI to identify text and goods, scenery, etc., is becoming a new hot spot. This ability may bring new opportunities to many mobile applications. For example, photo translation, handwritten text recognition and recognition, text emotion recognition, etc., can be widely used in translation, input and social fields. Image classification, image super-resolution, object recognition, etc., can also be applied to self-media, social networks and shopping. So many new abilities and complex algorithmic functions behind it are actually giving developers new "food ingredients." The easiest way to use these “food ingredients†is to mix them with “old dishesâ€, such as adding AI effects and AI recognition in short videos. More complicated is to form “AI new dishes†separately; a deeper step is to re-understand The basic capabilities of mobile phones, conceived unknown features that have never appeared before. In general, the core change that AI brings to mobile phones is that mobile phones can understand the real world through cameras. And this function is bound to become stronger and stronger. How to take advantage of this, to integrate functions, create new applications, and build their own traffic logic, is the real opportunity for mobile AI and mobile developers today. For mobile phones, there is a good idea to develop first, and it is not a problem of “chickens, eggs, and chickensâ€. It's just like cooking. You must have ingredients first, so the chef can find ways to develop new flavors and make new dishes. For the proposition of mobile phone AI, an AI application that has not been tried by a consumer and can be blazed must be based on sufficient development. Today, this development foundation must be based on the three potential energy bodies that form an orderly ecology: First, the open AI chip: the industry is currently developing AI architecture and applications, mainly relying on cloud computing to provide computing power. The back end is that NVI and Google's cloud computing AI acceleration chip is working. However, this mode is not a long-term solution to the mobile phone. On the one hand, uploading users' videos, photos and other information to the cloud has privacy security issues; on the other hand, this process takes time, causing delays and delays, and once there is no network It will be invalid. Without an AI chip, a mobile phone with an AI algorithm only on a specific hardware faces a problem that cannot support the development of an unknown AI application. Because the new application must be coordinated with the CPU, GPU and AI special processing unit. If the mobile phone lacks the ability to support the general AI task, then the user can only experience a few preset AI functions and cannot meet the new AI experience. This is why Apple wants to develop A11 biomimetic nerve chips, Huawei chips to develop Kirin 970, and to develop ecology based on chip construction. Second, the platform and framework enable AI development: only the chip can not, of course, developers can not remove the chip to study how to do it. Therefore, it is crucial to be able to open AI capabilities at different levels and access the mobile AI platform of the mainstream AI development framework. It's like setting up a channel and market between computing power and developers. Developers need to know how to get into AI and know what benefits they can get from mobile AI. For example, based on the HiAI architecture of the Kirin 970 chip, it can be regarded as Huawei's platform and developer layout for mobile AI development. Reducing the developer's entry cost, implementing the plan of sharing benefits and protecting intellectual property rights is a guarantee for a mobile phone AI development platform. After all, the ecological environment has been built, and the policy has been given up. "Investment and investment" can be activated. Third, the developer who is aware of the opportunity: On the proposition of mobile phone AI, the platform is only black land, and the developer is the farmer who chooses how to sow and harvest. But the first priority in front of the developer community is to realize that there is such a fertilizer field, and there is the possibility of AI development. Then there is the time when technology breaks in and thinks about creativity. It is also important to establish an AI-based business model and industrial barriers. The virtuous circle between the above three can be seen as the basis of an agro-ecology. Of course, as consumers, we finally want to see the food on the table, but there is no orchard farm. Where does the food come from? A little further, what we should see is that AI brings to mobile phones more than just creating new apps. If the technical conditions are further ripened, we may get more from the mobile phone AI. For example, we experienced the AI ​​speaker battle last year, and this year we are seeing more and more hardware, especially home appliances are entering the AI ​​interactive mode. But have you ever thought that since the main value of AI speakers is interaction, not "sound quality." So why do you have to put a lot of hardware, rather than talking directly to the phone, let it help you find the content, shopping, control of the home system? After all, the mobile phone is the weapon that never leaves, and there is no limit to the distance of wake-up. This is because the AI ​​functions of speakers and IoT devices need to be based on cloud computing, which is slow and consumes too much power on the phone. These problems may be changed by AI chips and 5G technology, as well as mobile AI development ecology. If we can achieve efficient terminal AI calculation and fast transmission, then the mobile phone can completely replace speakers or other hardware carriers. The only entrance to AI life. This technical possibility will be the biggest surprise for mobile phones brought to the AI ​​industry. Directly talk to the mobile phone, use the mobile phone's sensors and cameras to understand and control the IoT system, realize the AI ​​of business, home, entertainment scenes, and even open the mobile phone and the driverless system, then the value of the mobile phone will once again leap. In the past, we have been speculating that the centralization of mobile phones will not be eliminated in the AI ​​era. But if AI happens on the phone, is this guess not broken? In short, the AI ​​brought to the mobile phone is definitely not only the enhancement of local capabilities, but the reorganization of the basic elements of mobile application development. Under the new conditions, which step can AI or mobile phone take? This is an unknown number that makes people feel a little bit moving. Copper Tube Terminals Without Checking Hole Our company specializes in the production and sales of all kinds of terminals, copper terminals, nose wire ears, cold pressed terminals, copper joints, but also according to customer requirements for customization and production, our raw materials are produced and sold by ourselves, we have their own raw materials processing plant, high purity T2 copper, quality and quantity, come to me to order it! 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