When AI meets the blockchain, people seem to see that the intelligent era of integrity and interconnection is ahead without affecting the privacy of personal data.
Artificial intelligence, nano-manufacturing, blockchain or next-generation Internet, and gene editing, these hottest technologies are redefining human life. Most of the artificial intelligence in the next few decades is still controllable and will be realized according to the needs of the industry, and all of this needs to build a solid data intelligence infrastructure.
Today, in the process of people's pursuit of personalization, service, openness and sharing, data is not limited to machines and software, but extends to holographic life categories such as behavior data, trajectory data, medical and health data, genetic data or educational data.
Machine learning and neural network often appear in public opinion. At present, data training only allows computers to generate functions from existing data to judge similar data in the future.
Among them, in the process of machine learning, the most scarce thing at present is real-time, uninterrupted and full-dimensional industrial chain data. In addition to the inherent technical difficulty, the collection of these data is more hindered by the "isolated island" of data collected by traditional institutions since the industrial revolution.
According to the McKinsey Global Institute, every job subverted by the Internet creates 2.6 new jobs. At a time when artificial intelligence is advancing by leaps and bounds, bringing employment and wealth, the most lacking is data. Just today, there are still many core data monopolized by institutional centers, which can't help machines learn by themselves reasonably.
Therefore, data openness and sharing should become the theme of the Internet age. Internet advocates personalized experience and abandons static and universally applicable single experience. The opening and sharing of data needs to be built on an intelligent infrastructure that can completely let the data flow and the generated value flow in the whole chain, and the blockchain technology from hippie culture seems to be born for this.
Whether it is ARPAnet (ARPANET) or TCP/IP (Transmission Control Protocol/Internet Protocol), the birth of the Internet is based on distributed computing, packet switching and decentralization. However, the truly decentralized data world is still far away from us. If today's first-generation Internet has solved the problem of human information transmission, then the second-generation Internet we expect should be able to solve the problem of information authenticity. Blockchain technology can solve the problem of data credibility in AI applications.
The zero-knowledge proof calculation method, which originated in the 1980s and was widely used in cryptography, has been put into practice in blockchain development technology. When AI meets the blockchain, people seem to see that the intelligent era of integrity and interconnection is ahead without affecting the privacy of personal data.
The discovery and invention of mathematics and algorithms in the field of artificial intelligence is the top priority of the whole data intelligence infrastructure construction. The intelligent infrastructure construction of data can not only help machine learning to improve its accuracy and value, but more importantly, it can also promote economic and social development, help enterprises determine their core goals, focus on key tasks, give play to their core advantages, and enhance their asset matching ability.
The real economy is the foundation of the Internet economy, and data is the foundation of a smart future. Strengthening the construction of data intelligent infrastructure and rearranging all the elements related to intelligent life will help enterprises get out of the predicament of homogenization and inefficiency and move towards the intelligent age together.