In this year's top ten breakthrough technologies selected by the Massachusetts Institute of Technology in the United States, Baidu's voice interface technology is on the list, and its "power" is the first to push Baidu's big data and artificial intelligence technology. As all kinds of devices in human society continue to perceive, transmit, and store data, big data is exponentially multiplied. It is expected that the data generated by 2020 will be 1,000 today's Google or 10,000 Baidu. At the same time, big data is accelerating and integrating with manufacturing, transportation, finance, medical and other industries, and “value-adding†of data through “processing†has not only produced unprecedented value, but also stimulated the unprecedented surge of artificial intelligence. Investment and entrepreneurial innovations are constantly emerging, and applications such as self-driving cars and AlphaGo are within reach, bringing artificial intelligence to a new “golden ageâ€.
In response to the above trend, the “First China Big Data Application Conference†to be held at the Chengdu Century City International Conference Center on July 14-15 will host the “Big Data Core Technology Forum†and the “Financial Innovation Forum under the Big Data Eraâ€. "The Economic Big Data Forum", "Big Data and Intelligent Manufacturing Application Forum", "Big Data Health Medical Application Forum", "Big Data Human Resources Forum" and many other theme forums, in-depth discussion of the above hot spots, then from the Chinese Academy of Sciences More than 50 academicians from the Chinese Academy of Engineering, as well as industry leaders and experts from all relevant industries, will gather together to provide a brainstorming for the audience.
Big data helps artificial intelligence move towards 3.0 era
Although the potential of big data is infinite, big data is not an "oil" that can be used directly, but an "ore" with a very low gold content. Only by mastering a good refining method and using it properly can it really work. Achieve powerful data collection capabilities and improve the performance of mining and analysis tools to better meet the future of artificial intelligence.
The industry agrees that there are two main branches of artificial intelligence: one is irregular, the computer reads a large amount of data, and the intelligent intelligence is processed according to the statistics and probability analysis of the data; the second is a deep learning based on the neural network. Improve the ability and precision of artificial intelligence. Nowadays, after a large amount of structured or unstructured data is generated, there are low-cost memories to store them, high-speed CPUs to process them, analysis tools for intelligent analysis, and artificial intelligence branch theory to be practiced in large quantities. As a result, artificial intelligence can continuously improve accuracy. At the same time, the use of artificial intelligence services as a high value-added service in practice has become a major factor in acquiring more users, and increasing users will generate more data, which will further optimize artificial intelligence.
From a historical point of view, it has already experienced two waves of artificial intelligence, but the two previous artificial intelligence waves entered the cold winter due to the limitation of computing power and data, and now the three major factors support artificial intelligence to the next stage: depth Learning, computing power and big data, artificial intelligence supported by big data will usher in a new stage of development, namely the artificial intelligence 3.0 era.
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