Through this conference, we can see several major trends in the development of artificial intelligence in 2017:
First, the expansion of machine learning applications: Machine learning is being applied to more complex tasks and more fields, and more people as a way to mine data.
Second, the computer understands and generates natural language: It is expected that it will first land on chatbots and other dialogue systems.
Third, the combination of deep learning and other machine learning and artificial intelligence techniques will be a typical symbol of mature technology. The application of deep learning to the medical field, including research on medical images, clinical data, genomic data, and other types of data, will greatly increase.
Fourth, the science and technology giants are concerned about the self-driving car, computer vision will continue to progress rapidly.
Fifth, chat robots and self-driving cars may achieve greater interconnection and interoperability.
AI+ Breakthrough Period Creates the Most Valuable Value of Integrating Eco-industrial Chain
It can be said that after the AI ​​algorithm threshold was quickly leveled out, the vertical industry's valuable data and commercial scene resources have become more important strategic elements. The artificial intelligence industry has shifted from relying on the neural network algorithm of top experts to the ecological driving of the horizontal AI+ industry. . The widespread adoption of AI open source technology has made top artificial intelligence experts, start-up companies and commercial giants at home and abroad form closer ecosystem partners in the AI ​​field. Each link can play a positive role in promoting the value-added of the industry chain. Several years are the AI+ outbreak period. Creating a platform to integrate the ecological industry chain is the most valuable thing in this industry.
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