There is still an industrial bubble in artificial intelligence. It must be combined with a field and an industry in order for the machine algorithm to do more things. Artificial intelligence will require at least five to ten years of development in the future. Algorithm improvement does not represent true artificial intelligence. Combining the current artificial intelligence technology with intelligent hardware can better protect users. The following is a summary of the sharing speeches from Zhou Hongyi: Artificial intelligence will be the next industry bubble I also went to Seattle specifically this year and went to Silicon Valley to visit some companies. I didn't go to Stanford and went to Berkeley. I communicated with the eight labs in Berkeley. I feel that artificial intelligence will become the next industry. foam. Today entrepreneurs come out to be a company, you have to say you are using deep learning, artificial intelligence, you are embarrassed to mix. Just two years before, you wouldn’t say that you are O2O, and you are too embarrassed to finance it. Artificial intelligence must be combined with one domain and one industry. For example, the introduction of AlphaGo's DeepMind, a British company acquired by Google, is a way for them to embody AI. They can use the computer algorithm to do many things in the future. For example, if a computer manages a mutual fund, the return on investment is one percentage point higher than that of a manually managed fund, and it can become the largest fund management company in the world. So we saw in the United States that many companies combine artificial intelligence with many things from a pragmatic point of view. Similar to what everyone said about the Internet+ for many years, the next one in a decade or more will probably be artificial intelligence+, but it is definitely not now. Artificial intelligence is just an old bottle of new wine Today's artificial intelligence is not as magical as many literary authors, or many literary youth or science fiction movies. In fact, today's artificial intelligence strictly speaking, computers do not generate thinking, and it is even more impossible to generate consciousness. There is no sense or emotion, so people are worried about the destruction of the human world in machines like "Terminator 1, 2". It is still very far away. Let me give you an example. I communicated with them at Berkeley. Today's so-called artificial intelligence is just called new bottled old wine: because of the increase in computer computing power, past algorithms have been greatly improved; access to the Internet and mobile phones has been used. Collect a large amount of data and then use deep learning algorithms, which is today's artificial intelligence. On the basis of big data, it is actually able to make the computer make some qualitative leap in certain areas. For example, in the field of image recognition, now you give it 100,000 pictures on a computer, all of them are beautiful women, and give it. Look at a new photo and let it determine if it is a beautiful woman.
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In recent days, Zhou Hongyi, a 360 marketing guru, said that the next time a few years and a decade later, it may be artificial intelligence, but it is definitely not the present.