In 1985, I used computers for research and work for the first time. I was in the University of Twin Cities and still remember the process of using the DOS version of Word and later upgrading to the first version of Windows. In the past, people often laughed at the giants of supercomputers in computer labs, but people secretly speculated on what was going to happen in the future. This is true. The information age began in 1965 when Gordon Moore invented Moore's Law. All of this is about the upgrade of computing power, which played a crucial role in the upcoming information age. Some people believe that the information age began long before electricity replaced steam power. Others believe that the beginning of the information age was when the American library system began to expand in the 1930s. Who knows? But I think – when everyone can get information on a personal computer, the information age really begins. That was basically around 1985. We can agree on one thing, that is, information is ubiquitous, which is recognized by everyone. But now, we are preparing for another change. Taking advantage of our digital future, economists Andrew McCaffer and Erik Brynjolfsson suggest that we are now in the era of "machine learning." They pointed out another important moment, which may be as important as Moore's Law. Last March, the artificial intelligence robot finally defeated the World Go Championship and won three of the four games. Of course, it is also difficult to accurately point out the beginning of the machine learning era. Defeating a chess player is a milestone, but my children have relied on GPS positioning systems for years and they don't know how to read ordinary maps. If there is no mobile phone, they will get lost. They are already relying on a "machine" to replace human thinking and reasoning. In recent years, I have not found the theater show time in the browser, I have to give it to Siri on my iPhone to find. Since 2015, I have been using Amazon Echo speakers to control my home thermostat. In their book, McAfee and Brynjolfsson offer an interesting perspective on this radical transformation. For anyone working in the field of artificial intelligence, leaving the information age behind, thanks to the crowdsourcing data effort. But it's not just about creating an account on Kickstarter, it's active when it can access the data generated by thousands of users. And the more data, the higher the quality. In order to defeat the Go Champion, Google DeepMind uses a real game database between people. Artificial intelligence cannot exist without crowdsourcing data. We see this in chatbots and voice robots. The best robots know how to adapt to users and know how to use previous discussions as a basis for improving artificial intelligence. Even the word "machine learning" implies the meaning of crowdsourcing. Machines learn from the crowd, usually by collecting data. We see that autonomous vehicles are more dynamic than other machine learning models. Cars analyze thousands of data points by observing sensors that people are driving on the road. Tesla's ModelS has been using crowdsourced data technology. Now that GM is testing autonomous vehicles on real roads, it's clear that the entire project is a way to ensure that the car understands all real-world variables. But ironically, the machine age is still the era of manpower. In the book, the author explains that the process of switching from steam power to electricity takes a long time. Not everyone agrees. Not everyone sees value. When we try artificial intelligence, test and retest algorithms, and deploy robots to homes and workplaces, we must remember that machines will only improve as crowdsourced data improves. But for now, we are still in full control. Spring Clamp Terminal Block,Spring Terminal Connector,Spring Loaded Terminal Blocks,Spring Cage Terminal Block Cixi Xinke Electronic Technology Co., Ltd. , https://www.cxxinke.com