How will the future of artificial intelligence develop? See Ma Yun, Shen Xiangyang, how do you say?

On April 2nd, the 2017 IT Leaders Summit was held at Shenzhen Wuzhou Hotel. The theme of this year's “IT Leaders Summit” was “Towards a New Era of Intelligence”, focusing on the Internet's most popular field of artificial intelligence.

Ma Yun: Artificial intelligence will change the form of education

Ma Yun talked about the view of AI at the meeting. He said that in the future, it is not ArTIficial intelligence (AI, artificial intelligence), but Machine intelligence (MI, machine intelligence).

For the event in the industry's hot AlphaGo to defeat the human chess player, Ma Yun responded with "What's the big deal." "Go defeated people, but only insulted people. What the machine has to do is something that humans can't do. This is the ability." He said.

Ma Yun said that he has been in the industry for a long time, and many scholars and experts in brain neuroscience have entered AI. He thinks it's a bit of a mystery. Humans don't know about 3% of their brains, but let the machine learn 3%? "The machine must have its own thinking, the machine must have its own method, the car is also the machine, but if the car is like a person walking on two legs, it will never run very fast."

At the same time, Ma Yun believes that the emergence of artificial intelligence will greatly change the future education form, and it is not allowed to compare the ability of children with machines, but to cultivate the creative ability that machines do not have.

Ma Huateng talks about artificial intelligence layout: the laboratory is built next to Microsoft

On April 2, 2017 China (Shenzhen) IT Leaders Summit, in the high-end dialogue on the theme of “Artificial Intelligence: China Opportunities and Challenges”, Ma Huateng, Chairman and CEO of Tencent, spoke about Tencent’s layout in artificial intelligence. He believes that the development of AI has four major elements:

The first one is the scene. The scene is what scene you want to apply this technology to. You have high frequency contact with the user. This is a very important place to land. If there is no scene landing, no platform support, basically it is a castle in the air, it is difficult to study half of it.

The second is big data. Big data is also generated from a large number of actual operational data from the platform and business units. But this lot of big data is junk data, because there is no tag, each person makes a planning definition, and how good a good algorithm can't learn. Data cleaning and labeling are very difficult. Tencent even has to hire a lot of people to use human hands. First clean the human brain and let AI learn.

The third is computing power. Tencent has cloud resources, hundreds of thousands of core computing power, CPU, GPU. And it can be called very well in the cloud itself, which is a big advantage for Tencent.

Fourth, talent. Tencent had a shortage of AI talents a year ago. Ten Years of Tencent recruited many people. Tencent also set up a laboratory next to Microsoft's Seattle Research Institute. Ma Huateng said that because many people in Microsoft are not willing to leave Seattle, they set up a laboratory next to them to facilitate cornering.

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