Mei Junjie: Cultivate AI talents and apply technology to all walks of life through open source empowerment

Mei Junjie said that through the empowerment of open source technology, more artificial intelligence talents can be cultivated and these technologies can be applied to various industries. This can realize the practical application of technology and promote the development of thousands of industries

The first China County Economic Investment Summit Forum was held at the National Convention Center (Shanghai) on August 25, with the theme of "Technology Empowerment, Capital Ledness, and Jointly Helping the High-Quality Development of County Economy"

At the New Infrastructure and Intelligent Manufacturing Forum, Mei Junjie, head of enterprise ecological operations in the East China region of the AI ​​Technology Ecology Department of Baidu (China) Co., Ltd., said that artificial intelligence may trigger the next wave of industrial revolution. We observe that all previous industrial revolutions, including the mechanical revolution, electrical revolution and information revolution, were all driven by core technologies. Each technology has strong versatility. When the versatility of the technology reaches a certain level, it will give capabilities to all walks of life. In particular, artificial intelligence represented by deep learning is showing its versatility, which is specifically reflected in automation, Aspects such as standardization and modularization

Mei Junjie pointed out that AI has some difficulties in driving the industry, especially in various complex application scenarios, including the difficulty of deploying algorithm models to machine equipment or supercomputing centers. So, how will Baidu Flying Paddle and the AI ​​technology ecosystem department solve these problems? Specifically, there are three aspects of advancement:

First of all, we provide a series of very rich application scenarios. These application scenarios cover the fields of energy, power, industry and agriculture, including the entire power transmission and transformation industry. On the Flying Paddle platform, State Grid and China Southern Grid are both important customers of Baidu. We provide a series of scenario applications for power transmission, distribution, and industrial quality inspection of equipment

The content that needs to be rewritten is: Secondly, more algorithm platforms should be opened. Currently, Flying Paddle has open sourced more than 600 algorithms, and the number of models created based on these algorithm models is about 800,000

Rewritten content: Secondly, the algorithm model needs to run on the chip. Feipiao's ecosystem will adapt to the mainstream AI chips on the market. Currently, there are more than 40 partners who share enough application scenarios, provide enough algorithms, and carry out enough chip adaptations to solve the problem. Problems such as "difficult application scenarios" and "difficult deployment environment" encountered during the implementation of the entire industry

Baidu AI Technology Ecology Department provides the following solutions to empower the entire industry ecosystem:

What needs to be rewritten is: First, from a talent perspective. Baidu plans to train 5 million artificial intelligence talents in the next five years. In the talent training process, Feipiao and the artificial intelligence technology ecological department will undertake most of the work. Talent training has a pyramid structure, with general talents at the bottom, who can grow and learn on their own through the AI ​​Studio Galaxy community. Galaxy Community provides more than 10,000 hours of courses, divided into beginners, intermediate and advanced, for everyone to learn freely. At the same time, there are algorithm competitions every day, providing various tools to support everyone in learning and applying artificial intelligence. In addition, some real-time access to artificial intelligence fast track courses will be launched

In addition, in order to deal with different application scenarios, we have launched an AI private meeting to solve some special problems encountered in the industry. We will cultivate top talents, called "chief architects". They need to have certain technical capabilities, but also have a deep understanding of the business, and have the management capabilities required during the implementation process

Secondly, in order to solve a series of problems encountered by enterprises in the use of artificial intelligence, we will also set up an organization similar to Baidu Fei Paddle Artificial Intelligence Industry Empowerment Center to provide a series of technologies for industrial enterprises in the region Serve

The third point is for developers. Considering the development of AI technology, more execution work is still done by developers, so we need to support developers’ self-growth

The fourth point is about the adaptation of the entire hardware ecosystem. By adapting some chips, we can also provide services to chip companies. The core application of a chip needs to be able to run and needs to be connected with the model algorithm

How to help everyone better achieve industry docking? Mei Junjie mentioned that he plans to combine Baidu’s other business ecosystems with the enterprise side. For example, some startups want to connect with the Baidu ecosystem, and we also welcome them to build together

Mei Junjie further said: “From our perspective, from the previous big data center to the later supercomputing center, and then to the recent intelligent computing center, the entire process is to provide services and support for artificial intelligence. In this process, there will also be many innovations, and we look forward to communicating and discussing with everyone."

It is reported that the organizer of this summit forum is the China Investment Association, and the co-organizers are the National Convention and Exhibition Center (Shanghai) and "Well-off" magazine. The organizers include the New Infrastructure Investment Professional Committee of China Investment Association, Shuhao Technology (Shanghai) Co., Ltd. and Beijing Xiaokang Culture Development Co., Ltd. (Sun Yuanyuan)

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