Why is it so hot for artificial intelligence to enter the national examination paper?

1. One premise of the artificial intelligence craze is that the rapid development of the Internet in the past 20 years has produced a large number of data that need to be processed and refined by artificial intelligence. In other words, the demand for data processing has given birth to the rapid development of artificial intelligence to some extent.

Today, the data generated every day in the world may be the sum of the past few centuries. Twenty years ago, we used things like disks to store data. At present, the amount of data generated and transmitted by each mobile phone is calculated in g units. Whether you have a large amount of data and constantly seize the data highland has become the core of measuring an artificial intelligence company. So, where does such a large amount of data come from? On the one hand, the data that has been structured and exists in large quantities offline has been digitized in large quantities due to specific reasons or historical processes. In other words, data that was not online before is online now. This can partly explain why SaaS, big data and artificial intelligence easily overlap. In the past six months, the eye-catching news was that artificial intelligence invaded Wall Street. Financial giants such as Goldman Sachs and some large hedge funds are turning to artificial intelligence-driven systems to predict market trends and make better trading decisions. At the same time, traders and hedge fund managers began to worry about unemployment, as technology became more and more labor-saving. The American capital market, which is what we call the secondary market, has had the concept of quantitative investment from1980s to1990s. The whole chain has completed long-term and complete data accumulation and digitization, including the front-end trading system, the middle-end data service, and the back-end fund management and service. In other words, the whole chain has probably been fully started and developed.

Nowadays, with the support of high-speed computing and massive data, artificial intelligence can move the existing data of the financial industry to the Internet through a large number of machines, resulting in a huge multiplier effect. In addition to the data analysis and processing ability of the superhuman brain, deep learning is becoming the biggest weapon of smart finance in the future. Perhaps in the near future, computers will be smart enough to predict our needs and lead mankind into an affluent era.

4. Another source of a large amount of data is that in the past 20 years, all the sensor systems without networking have been networked, resulting in a large amount of data circulating on the Internet. A few simple examples can explain these new data sources. The biggest difference between today's smart phone and the communication phone 20 years ago is that there are several special things in it-gyroscope or GPS chip, higher quality microphone and camera. These new sensors stay online for 24 hours, which enables us to see many business models today, such as WeChat with voice instead of text and microphone as input, online car riding created by GPS positioning and maps, various camera-based photo and live broadcast applications, and the bicycle sharing model that I will analyze next. For another example, Amazon put the microphone array and the things that can handle voice interaction at the end in a speaker, and made it online 24 hours a day, so there was a smart home product that was very popular in the past two years-2065438+06, which sold more than 6.5 million Amazon Echo. Every communication (voice data) between users and Echo will be recorded and uploaded to the cloud. DJI, in the field of commercial drones, puts gyroscopes, speed sensors, communication chips, high-definition cameras and GPS systems with smaller scale, better accuracy and lower relative energy consumption into the original plane without sensors, and makes them online and connected with mobile phones. Unique videos and clever photos are all data generated by drones. These examples show that the so-called intelligent and online core components or sensors can give birth to new business models. And this has become the premise of artificial intelligence.

This article is transferred from an author in Zhihu.