AI hardware shows spurt growth MediaTek plans to focus on smart development in the next three years

Throughout the market trend, AI hardware products will show a spurt growth in the near future, and improving the computing efficiency of terminal AI has become a strategy for technology to compete against each other. Recently, MediaTek has also released its AI strategy for the next three years. It plans to focus on end-to-end smart development in the next three years, and will improve its performance from four aspects: from the cloud to the terminal.

Today, the mobile phone chip giant MediaTek held a media communication meeting in Beijing to explain the next stage of the artificial intelligence platform NeuroPlot launched at CES and MediaTek's next strategy on AI.

Although the current advancement of artificial intelligence is mainly in the two aspects of visual recognition (AI Vision) and speech recognition (AI Voice). In terms of visual recognition, the current artificial intelligence is based on the deep learning algorithm to mark large-scale images and train in the cloud with strong computing power. In the chip market, the GPU is already in the cloud. From the CES at the beginning of the month, Xiaobian also observed that AI hardware products are also showing spurt growth, and end intelligence has become a major trend in the field of artificial intelligence.

First, the next three years will focus on the development of smart intelligence

AI hardware shows spurt growth MediaTek plans to focus on smart development in the next three years

According to Lin Zongyao, associate of the CTO Office of MediaTek, there will be four major improvements in intelligence from the cloud to the terminal.

1. Reaction rate. Many of the current smart devices are collected by the terminal device and then transmitted back to the cloud for calculation processing, and then transmitted to the terminal device. The entire process has time loss, such as in the vehicle system. In a system that responds quickly, information processing such as end-cloud-end is too late, and terminal intelligence can provide timely system feedback.

2, privacy protection, the device uploads data to the cloud for processing, the biggest problem for users is privacy. Even if cloud services with different permissions, such as public cloud, private cloud or even hybrid cloud, are currently passed, the user's data is transmitted to the cloud server's server background. For cloud service users, in addition to privacy issues, uploading data to the cloud also puts pressure on the cost, especially for users with large data.

3, network connection, the entire process of data processing in the cloud also needs to connect to the network, such as network delay or stuck, data transmission will be blocked, the entire response process will become longer, the implementation efficiency is much lower.

4, running power consumption, according to Lin Zongyao, the total power consumption generated by cloud services currently accounts for about 5% of the total global power consumption. If AI processing can be performed on the terminal, the power will also drop.

It is precisely because the cloud service has the above unsatisfactory, the industry is now intelligently decentralized to the terminal. MediaTek, the mobile phone chip giant, also wants to be the promoter of the smart. Lin Zongyao stressed that in the next three years, MediaTek will focus on the end intelligence.

Second, open the NeuroPlot artificial intelligence platform

At the beginning of the month at CES, MediaTek launched a NeuroPlot artificial intelligence platform that integrates the hardware product AI processor with software services to provide users with a complete artificial intelligence solution.

AI hardware shows spurt growth MediaTek plans to focus on smart development in the next three years

The NeuroPlot artificial intelligence platform features four major features:

1. Improve the operational efficiency of the terminal AI - MediaTek's NeuroPilot AI platform makes terminal devices more efficient and feasible when executing and operating AI applications.

2, use AI to enhance product features - MediaTek's chip platform uses AI technology to enhance product performance and functionality, mainly for facial recognition, facial beautification, scene detection, gesture detection, system performance and speech recognition.

3. Support for mainstream AI architecture - MediaTek's AI solution supports existing AI architectures on the market, including Google's TensorFlow, Caffe, Amazon's MXNet, and Sony's NArbla. In terms of operating system, MediaTek supports both Android and Linux systems.

4. Provide a complete software and hardware solution - In addition to providing artificial intelligence processors, MediaTek will also launch the NeuroPilot SDK, which will enable developers to more easily use MediaTek chips to provide AI applications and functions for consumer devices. At the same time, the NeuroPlot artificial intelligence platform will provide complete API support covering the low-end and mid-range.

Therefore, the NeuroPilot AI platform is a cross-platform, cross-architecture, cross-operating system platform, so users only need to write code once, it can be used under different platforms and operating systems.

In providing a total solution, the NeuroPlot artificial intelligence platform can provide services for different levels of development projects, mainly in three levels:

1. Provide framework optimization design for projects that have complete applications but use different development frameworks. Since MediaTek is a partnership with Google, Amazon, and FaceBook, it is compatible with the common forms of the market.

2. For users who have basic scripts but need AI acceleration calculation, NeuroPlot artificial intelligence platform will expand the neural network for users and accelerate the running efficiency of scripts.

3. Provide customized solutions for partners based on MediaTek's heterogeneous capabilities. The NeuroPlot artificial intelligence platform can access all AI computing powers such as CPU, GPU, APU (the chip used by MediaTek for AI computing, not limited to deep learning algorithms), so that the terminal device needs CPU, GPU, APU, etc. Whenever a chip performs an operation, it will implement a fast operation.

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