Yu Kai, Horizon: The Future Direction of Artificial Intelligence is Deep Learning + Bayesian Networks

: This is Yu Kai’s second participation in the Yabuli China Entrepreneurs Forum after the announcement of the venture. This time, the greatest feeling of this artificial intelligence expert is that the entire investment community and the business community have a deeper understanding of artificial intelligence and are closer to the real state, and have begun to enter the door from the outside.

A year ago, the founder of Baidu IDL, the founder of Horizon Robotics, needed to explain “deep learning”, “artificial intelligence”, and “neural network” to the participating entrepreneurs... but just a year later, artificial intelligence With the completion of rapid knowledge dissemination, the question of what is “what” has long been resolved. More entrepreneurs are again publicly and privately communicating and have frequently asked Yu Kai: “why” and “how to use” artificial intelligence.

Yu Kai participated in a forum called "The Second Half of the Internet." His feeling is: "Whether it is the guest's point of view or the problems under the table, it is all about artificial intelligence, so everyone's concern has only increased."

In fact, at the “second half of the Internet” forum, whether the issue of “second half” competition was still questioned by the speaker, but surprisingly, everyone believed that the next wave of technological revolution was artificial intelligence.

地平线余凯:人工智能未来发展方向是深度学习+贝叶斯网络

However, in this wave of artificial intelligence revolution, the specific direction of development? Why can't deep learning solve all problems? What about small data learning? How can artificial intelligence talents be trained?

In his exclusive interview with Sina Technology, Yu Kai talked about the following points:

Sina Technology: This is the second time to come to the Yabuli Entrepreneur Forum. What is the difference in feeling?

Yu Kai: Everyone has a more thorough understanding of artificial intelligence, is more in place, and more rational. I feel that there is an influence of events like AlphaGo, but more is the result of the efforts of entrepreneurs and investors in the past year, including Many entrepreneurs went to Silicon Valley and Israel to visit and study, so they have a better understanding of the direction of this industry and the key technologies and barriers. I think I entered the door from the outside.

Sina Technology: The entire business community has begun to develop in a more clear direction?

Yu Kai: Yes, for example, we are increasingly aware that if artificial intelligence is only an algorithm, it may not be able to solve the problem fundamentally, and the resulting value is not particularly large, if it is more from the overall system and solutions. If we do it vertically, we can build deeper barriers and create value. If I think this is the case, I think it is developing in the right direction.

Sina Technology: For the horizon, what direction is correct and in place?

Yu Kai: The general direction is the combination of software and hardware, and it is very concerned about processors. Because of the combination of algorithms and hardware, it can produce thousands of times more efficiency, making a lot of things possible.

Sina Technology: At present, when it comes to artificial intelligence, there will be more opinions on neural networks, but there are also voices that criticize neural networks as "black boxes" - it is difficult to find problems.

Yu Kai: I think this is a very in-depth issue, because we are not only talking about the advantages of deep learning, we must also see its disadvantages and its boundaries, and we can find this correct direction.

The deep neural network does have this problem. It is relatively a relatively black box system, so I also think that in the field of autopilot, it actually faces some challenges, because in this, everyone hopes this is a controllable and functional safety. We do not want it to behave abnormally in systems where security is guaranteed.

How to achieve this? In fact, the Horizon began to realize in this piece that deep learning is not the only element of artificial intelligence. We must combine deep learning with other frameworks, such as enhanced learning and networking, so that the entire system is a relatively white box system. This is the direction we have been developing.

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