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Wehrle Lubrication（Shanghai) Co., Ltd
Address: 3rd Floor, Building 1, No.999 Jinzha Road, Fengxian District, Shanghai, China
Date: 2019-11-11 15:21:05 Visits: 259
1, From dedicated intelligence to general intelligence
How to realize the leap-forward development from dedicated intelligence to general intelligence is the inevitable trend of the development of the next generation of artificial intelligence, and also the challenge of research and application. Universal Intelligence is considered to be the jewel of the artificial intelligence crown, and is the focus of competition among technology giants around the world. The US military has also begun to plan research on general intelligence. They believe that general artificial intelligence drinks autonomous weapons, which is significantly better than the current development direction of artificial intelligence technology systems. Existing artificial intelligence is only a small step toward general artificial intelligence.
2, From machine intelligence to human-machine hybrid intelligence
Human intelligence and artificial intelligence have their own strengths and can complement each other. So a very important development trend of artificial intelligence is From AI (Artificial Intelligence) to AI (Augmented Intelligence), the two AIs have different meanings. Human intelligence and artificial intelligence are not zero-sum games. The combination of "human + machine" will be the mainstream direction of artificial intelligence speech. "Human-machine coexistence" will be the new normal of human society.
3. From "artificial + intelligent" to autonomous intelligent system
Manually collecting and labeling large sample training data is an important foundation or an important artificial basis for the success of deep learning over the years. For example, let the artificial intelligence know which piece of the image is a person, which piece is the grass, and which piece is the sky, which must be manually marked, which is very time consuming and laborious. In addition, there are manual design of deep neural network models, manual setting of application scenarios, and the need for users to manually adapt intelligent systems. So some people say that the current intelligence of artificial intelligence depends on how much labor is paid. This is not very accurate, but it does point out the problem. The next step is how to get the most out of intelligence with very little labor. Human reading can learn knowledge, and machines can''''t do it, so some organizations, such as Google, are beginning to try to create automatic machine learning algorithms to reduce the labor costs of AI.
4. Interdisciplinary intersection will become the source of artificial intelligence innovation
Deep learning knowledge draws on the principles of the brain: information stratification, hierarchical processing. Therefore, the intersection of artificial intelligence and brain science is very important. Both Nature and Scinece report on this aspect. For example, "Nature" published a self-learning artificial synapse developed by a research team, which can improve the learning speed of artificial neural networks. But how the brain deals with external visual information or auditory information is still a black box, which is the challenge of brain science. There is a huge space for innovation in the intersection of these two disciplines.
5. The artificial intelligence industry will flourish
6. The laws and regulations of artificial intelligence will be more sound
7. Artificial intelligence will become a strategic choice for more countries.
8. Artificial intelligence education will be fully popularized
These eight macroscopic development trends include both scientific research and industrial application, as well as national strategies and policies. The trends that are particularly worthy of attention at the level of scientific research are: from private to general, from artificial intelligence to human-machine integration, mixing, and cross-disciplinary brain science.