Five Trends of Artificial Intelligence from Internet+ to AI+ 2017

: In the past 2016, it can be said that the core development of AI has always revolved around open source and ecology. The international giants have been involved in a deep learning platform, so that the artificial intelligence that was originally high above the ground could quickly be refined to various fields in the industry. As AI technology is being used by global developers, it greatly reduces the threshold for deep learning. AI is facing the entire human society with an irreversible trend. On March 27, 2017, an Intel-based joint initiative to hold the Xinzhiyuan 2017 open source and ecological AI technology summit was held in Beijing. The mainstream Chinese AI companies, academics, and more than 600 practitioners, including BAT, attended the conference and shared the 2017 AI trend through experts in various fields.

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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