In the last 60 's, McLuhan once put forward the concept that "the media is the extension of human beings". The media here refers not to the media, but to a generalized medium, such as a train is the extension of human legs, the telephone is the extension of the human ear and mouth. The development of science and technology has changed the relationship between time and space, and thus has changed people's perception ability.
This is reflected in the mobile era more vividly, through social media and communication software, we can not delay the perception of the world in any corner of what is happening, but also at any time to convey the feelings of self. The emergence of mobile AI, but also the extension of the ability to the summit.
The powerful computing power brought by mobile AI has evolved the perceptual power of the media into decision-making ability. As Ai photographed, the perception of the scene of flowers and plants, the corresponding image processing decisions, the emergence of decision-making ability, so that human efficiency greatly improved.
This, perhaps, is the main reason we focus on mobile AI.
Finding the intersection: When the phone becomes a man-made organ
At present, the decision-making ability of mobile AI is still temporarily on the phone itself. The increase in efficiency is also largely the result of improved information processing capabilities. It's like a precise translation of a foreign language through the improvement of the calculation, or the product information from the picture.
But in another way, we'll find that the phone itself is connected to the physical world, much more than just one cell phone and another phone.
Mobile phone is the most time with people to spend the terminal, almost has become one of our "artificial organs."
Our eyes, our mouths and our ears have been stretched by mobile phones. We can get information and express information by mobile phone. But after the evolution of AI, the explosion of NPU brought on by the mobile phone also extends our brains-to understand images and sounds, and to understand our habits and preferences.
And the current popular internet of things, car networking, no one will be on the phone to add an operation port. We can control the rice cooker and seat heating on the phone, and with the AI ability, the cell phone can also learn from the user information to know when we are going to drive out, when to eat dinner. Between the two, only need a small intersection, you can input the ability of the mobile phone AI into the vast physical world.
If we look to the industry, we will find that the ability of the mobile phone AI chip companies are in the Internet of things, the layout of the car network, and the layout of the Internet of things enterprises are trying to hunt the AI on the mobile phone.
Everyone is looking for the intersection.
Three directions to go together, the phone Ai's all things played
This is the most perfect for the intersection layout, or the first to take the lead in the mobile phone AI to get the leading position of Huawei. A few days ago in Huawei's global Industry Outlook GIV 2025 Forecast, we mentioned the three key words of everything perception, interconnection of all things and intelligence of all things. Finding the intersection of perception and interconnection, you can find the possibility of the interconnection of all things.
Huawei's approach to finding intersections can be summed up into three ends--family scenes, car networking scenarios, and development ecology.
In the home scene, Huawei combines smart security, smart home and other IoT businesses with traditional carriers ' telecom services to replace ordinary broadband terminals with smart terminals. As a result, mobile can collect the IoT information of family scene in the broadband interface, it is possible to concentrate the information on the most powerful terminal, thus supporting the decision-making ability. For example, when users frequently use mobile phone to adjust room temperature, mobile AI based on local weather information and user habits training model, automatically adjust the air conditioning temperature suitable for users.
In Huawei's telematics solution, the three capabilities of the voice and video communications platform, AI services and apps are considered top-level applications, and support services such as big data analytics, machine learning, and other application enabling and travel services, security services, and more. As the middle point of both upper application and bottom support, mobile AI is likely to become an important transition tool. For example, the use of voice interaction ability, users can remotely control the car through the mobile phone.
Most importantly, Huawei liteos--, the world's most lightweight IoT system, can be used in industries, smart wearable, smart homes and more, but only takes up 10KB of capacity. For this lightweight internet of things, it will inevitably tend to be real-time and embedded, with a large physical world being decomposed at pixel level, where perception and decision-making fall into the details. Such a pixel-level internet of things is not a natural fit for local computing, and it can be a computing solution for uploading to the cloud or connecting to a user's mobile phone. Taking the recently Liteos hackathon (a programming marathon, a collaborative program and application activity), many award-winning projects focus on energy meters, AR and more, and use technology to solve details. The future of making mobile phones a computing platform, using lightweight IoT devices to make mobile data, is likely to be a universal solution. For example, using the bracelet to perceive the user's movement posture, time, intensity, and then on the mobile phone to calculate, so that users understand their own movement efficiency.
Singularity is true: the endless Sea of 100 billion terminals
In addition to Huawei, Apple is further invading the home IoT scene through HomeKit, while also gaining a grip on mobile AI and IoT two-weapon manufacturers.
According to GIV2025 forecast, by 2025, the number of personal intelligent terminals will reach 40 billion, the total number of global connections reached 100 billion. The data collected by these 100 billion devices and the related decision-making results naturally have different levels of real-time requirements. The security cameras that may be keeping the gates in place at all times need to be calculated in the local AI chip, and the heart rate, motion-related body data can be calculated from the nearest human cell phone terminal, to industrial production, huge data can be uploaded to the cloud for large-scale model deduction.
From mobile AI to Ai IoT, from a mobile phone terminal to everything, perhaps the real value of the phone AI.
The singularity that we have been pursuing is, in fact, like the technological revolutions of the last few, replicating the technological innovations of a single field or even a product until it changes the productivity of the entire human world. These imaginations are now being gradually implemented on mobile AI.
Back to the beginning of the topic, mobile phone as an extension of human, mobile phone AI is essentially "human AI"-its real stage is not a screen between, but with the people's will, wisdom and demand together, heading endless Sea.
Endless sea: From mobile phones to everything