At this year's IFA exhibition, Huawei officially announced to the world that the world's first mobile-end AI chip, the Unicorn 970, was launched to the smart phone industry. With the annual flagship of the Unicorn 970 processor, Huawei Mate 10 is also scheduled to be released on October 16 in Munich, Germany. The same is the flagship processor of Huawei, what makes it so much attention, it is necessary to start from the recent hot AI.

Following the VR boom, artificial intelligence seems to have become the main theme of the tech world in 2017. As the “AlphaGO” breaks through the human players one by one, the public’s attention to artificial intelligence has reached a level not previously seen.

Some sleek mobile phone manufacturers began to use artificial intelligence as an important selling point, and brought artificial intelligence services to users through systems integration and voice interfaces.

However, with the gradual improvement of artificial intelligence applications, artificial intelligence operations through mobile networks have been unable to meet the growing demand. Manufacturers began to seek more direct ways of experiencing.

Thus, we saw Huawei's scene at IFA. The world's first AI processor for mobile platforms, the Kirin 970, came into being under the growing application of mobile artificial intelligence.

Using a 10nm process process, Unicorn 970 continues to use an 8-core 64-bit architecture consisting of four Cortex-A73 cores and four Cortex-A53 cores. The GPU has been upgraded to the Mali-G71 MP12, the industry's first smartphone chip that supports LTE-A-Pro Cat.18, with downlink speeds of up to 1.2 Gbps.

The top parameter in all aspects is not its biggest flash point. Because of its built-in Cambrian-1A NPU module (neural AI unit), Unicorn 970 has become an important watershed for traditional smartphones and future AI phones. Its appearance provides new ideas for the future development of mobile phones.

So what is the role of this NPU module in the end?

For a long time, most of the AI ​​functions integrated in the smart phone system rely on the original CPU and GPU for deep learning calculations, but because their architecture design is not customized for deep learning, the processing efficiency will be relatively low. The NPU, the neural network processing unit, is specifically designed for machine learning.

When faced with the same work, the NPU processing efficiency for the AI ​​is extremely efficient. The Cambrian-1A NPU unit equipped with the Kirin 970 has 25 times the performance of the conventional CPU in machine learning and 6.25 times the performance of the GPU.

At the same time, it has the advantage of ultra-low power consumption, energy efficiency is up to 50 times compared with the CPU operation, GPU is 6.25 times. In the calculation of the image recognition, the NPU-equipped Unicorn 970 is far superior to the CPU operation rate of 95 sheets per minute at the rate of 2005 sheets per minute.

The unicorn 970 with the Cambrian-1A NPU unit is like the original image computing from the processor to the graphics card. Today, the emergence of the NPU eliminates the need for the CPU and the GPU to double as the burden of AI processing, significantly reducing power consumption. To achieve powerful machine learning performance.

The speed of AI processing and the availability of NPU modules may also be one of the hard indicators for measuring the performance of smart phones in the future.

Next stop: Smartphone

Since there is more efficient and rapid AI processing capability, the application of artificial intelligence on smart terminals has more room for imagination.

Kirin 970 has an open AI eco-environment. The platform supports Tensorflow/Tensorflow Lite and Caffe/Caffe 2, both of which are currently widely used neural network programming frameworks, reducing the threshold for developers to call NPUs in their own programs.

Making AI ecological applications more perfect, users can also experience the benefits of artificial intelligence in all aspects, and smart phones will gradually shift to smart phones.

The existence of NPU makes mobile phones more aware of the needs of the owner. Through deep learning of the AI ​​program, the smart phone can perform scene recognition, user portrait drawing, and prediction of user intention.

Let the phone know where the owner is, what he is doing, and the upcoming camp operation. By scheduling resources in advance, related applications can achieve “seconds”, and the experience of mobile phones will become smoother and more “understand”.

With the NPU's blessing, existing mobile phone features will become even more powerful.

For example, when using the voice function, the AI ​​will conduct detailed analysis of the current context and content, thereby achieving a highly accurate recognition experience and raising the success rate of speech recognition to a higher level.

In this way, the intelligent assistant will be the main voice function instead of the traditional manual input, and will play a more important role. Perhaps it will not be possible to see the “lower family” after playing on the street, but more people are facing the mobile phone.” "Speak to yourself".

In terms of photographs that users are very concerned about, the appearance of AI also brings many benefits to users who like mobile photography.

Kirin 970 equipped with dual ISP image signal processor, in the dynamic image capture and low-light photography has a great improvement.

Dual camera + dual ISP software and hardware optimization, coupled with computer vision analysis of artificial intelligence, will be able to automatically analyze the object within the screen, and select the best current camera mode, and even the object tracking focus and predict the user's photo opportunity, provide Unprecedented photo experience.

Computer vision is a major advantage of artificial intelligence. The flagship standard face recognition in the second half of 2017 certainly includes it.

With the help of machine learning, the smart phone will continue to learn and analyze the face data of the owner during the recognition process, and can still have an accurate recognition rate in different dresses and hairstyle changes.

At the same time, the power consumption of the original CPU for AI identification is significantly reduced, and the speed and efficiency are significantly improved, allowing users to enjoy a safe and efficient experience. Perhaps in the near future, facial recognition will become the standard for thousands of machines.

Speaking of mobile security, the integration of NPU chips in the Soc also means that user information will be better protected.

Traditional mobile artificial intelligence mostly relies on cloud-based neural networks to perform operations. User usage data, use behavior, and even accurate location information are transmitted to the cloud server intensively. Although there are encrypted transmissions from manufacturers, the transmission process eventually increases the risk. Of the ring.

The NPU's powerful computing power is enough to replace cloud computing in most scenarios. Sensitive personal information can be completed locally. When users use artificial intelligence, they are more secure.

Although mobile phone manufacturers in the past have also attempted to integrate artificial intelligence in the system, most of them rely on CPUs and cloud servers for computing. Because of limitations in efficiency and power consumption, the application of artificial intelligence can only stay at a very simple level.

The Kirin 970's built-in NPU processing unit lays the foundation of “true artificial intelligence” on hardware. With powerful performance and power consumption ratios, developers have a platform to show off their skills. Consumers will also get artificial intelligence in each. The convenience brought by the area. The era of smart phones may be approaching.

Conclusion

Whether Huawei can bring amazing artificial intelligence applications is still unknown. However, it is still very proud to see domestic manufacturers bring such heavy innovations to the industry.

As the next generation of domestic flagship processor Qilin 970 actual performance in the end, we must wait until October 16, Huawei Mate 10 conference can be officially announced.

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