According to foreign media, in the past industrial revolution, there were three forces that helped alleviate the loss of jobs caused by technological progress. They are the creation of new demand, the technology itself and the formation of new markets. But in the age of artificial intelligence, these forces can also play a role, but also help ease the employment problems caused by automation? The automation of jobs resulting from technological advances is a well-known issue. In his State of the Union address in 2016, the President of the United States, Barack Obama, warned that technology “is not just to replace the post on the flow line, but to replace any work that can be automated.†
However, Obama is not the first American president to worry about automation. In 1962, John F. Kennedy once said that the main challenge in the past decade in the country was "to maintain full employment in the era of replacing humans with automation technology." Despite these concerns raised by automation technology, It did not lead to a rapid and significant loss of human jobs—whether in the 1960s, the last century, or even now. There are at least three forces that make the relationship between technology and work more complicated. According to James Bessen, a lecturer at the Boston University School of Law, the first force is the increase in demand for product services that offset potential job losses. • The second force is the technology itself. By taking over some tasks from human hands, the remaining tasks become more valuable and more common. • The third force is the formation of new markets. These markets have changed the technological model from replacing the original positions (such as human labor) to assisting in the implementation of new tasks. In the words of David A. Mindell, a professor of engineering and manufacturing history at MIT, new markets and new opportunities help slow down the process of "manual replacement." Past history of the industrial revolution shows that All three forces have played their role before, helping to alleviate the problem of job losses caused by technological progress. For example: In the 1800s, demand growth created jobs for weavers, even though automation technology has increased their productivity by as much as fifty times. This increase in productivity often leads to layoff expectations, but the number of weavers has tripled between 1830 and 1900. Even after ATM machines became widespread in the late 1990s and took over most of the transaction operations originally handled by cashiers, bank tellers still did not lose their jobs because of the value of the inability to automate human interaction. Cashiers are assigned to more value-added operations such as customer service. The more bank branches that provide ATM machines start running, the more valuable the human-computer contact and interaction becomes. Despite all the worries, drones did not replace manned flights and pilots. On the contrary, they have created new types of pilots due to new types of tasks. The ordinary target-oriented 24-hour air combat patrol mission consists of 4 Predator drones, which require a total of more than 150 people to operate. Drone flight is far from being unmanned. However, people are still worried about the impact of technology on future employment, because it is unclear whether the above-mentioned three forces will also play a role. For example, the sustainability of economic growth is questionable. In addition, due to advancements in artificial intelligence (AI), the technology itself is closer to performing all conceivable tasks and taking over all jobs. Although these hidden concerns exist, we still have reason to be optimistic about the impact of technology on jobs and employment. The reason for optimism is the attitude and approach of leading AI startups. Looking at the 30 AI startups supported by venture capital, you will find that many AI pioneers apply their technology in a way that is compatible with the three forces that support job creation, whether by cater to the growing demand of the service-starved market, To strengthen people’s ability is to create new job alternatives instead of replacing their original positions. Figure 30 - Fields and financing involved in AI startups For example, of the 30 startups sampled above, seven targeted the healthcare industry as an important area for applying AI technology. We have reason to believe that in the healthcare sector, where 400 million people lack medicines and drugs, the increase in demand will offset the potential loss of jobs caused by automation technology. Create new needs Creating new demand from a population that has never received a thorough service, even through the automation of part of the work, is a viable way to create jobs in the financial technology industry. For example, ZestFinance cancels the human interaction in the underwriting process on the one hand and therefore cancels the underwriting position. On the other hand, it provides financial services to 2.5 billion people without a credit score, thus creating new demand and new positions. Some start-up companies are involved in industries that are not as service-minded. However, many of these startup companies use AI to strengthen their employees' capabilities rather than eliminate them. For example, Insidesales.com helps salespeople use predictive analytics and canonical analysis techniques to gain trading opportunities and close deals. Robots developed by Rethink Robotics can enhance the capabilities of factory workers. In the words of one of the customers of Rethink Robotics, they allow workers to become “like a surgeon who is at your fingertips: whatever they need. No matter what products they need.†Healthcare startups also uphold this concept of empowering individuals. Through the use of deep learning algorithms trained by ultrasound experts, the Ultrasound Machine produced by the Butterfly Network can provide guidance to clinicians with less specialized knowledge. Creating new markets It is feasible to apply high technology to understand unsatisfactory markets or to strengthen human capabilities, but it is not the only feasible way to save humanity. Technology makes it possible to create new markets, new products and new business models that will not lead to the elimination of existing labor. For example, Anki develops toys driven by AI technology and Blippar develops augmented reality software. The new business created by these toys, augmented reality applications, and unmanned opportunistic drive technology is not a technology-optimized old business. These carefully selected, well-funded startups are just the tip of the iceberg, and more companies are in relatively early stages of development. Whether it is a smart glove that can strengthen factory workers' every move, or an intelligent search engine that understands natural language, humans and technology can coexist in many ways. Therefore, we have reason to believe that creativity, entrepreneurship, and widely discussed AI-related policies will help humans find their role in the continuous improvement of technology. This will be at least until the universal AI and the arrival of the starting point.
However, Obama is not the first American president to worry about automation. In 1962, John F. Kennedy once said that the main challenge in the past decade in the country was "to maintain full employment in the era of replacing humans with automation technology." Despite these concerns raised by automation technology, It did not lead to a rapid and significant loss of human jobs—whether in the 1960s, the last century, or even now. There are at least three forces that make the relationship between technology and work more complicated. According to James Bessen, a lecturer at the Boston University School of Law, the first force is the increase in demand for product services that offset potential job losses. • The second force is the technology itself. By taking over some tasks from human hands, the remaining tasks become more valuable and more common. • The third force is the formation of new markets. These markets have changed the technological model from replacing the original positions (such as human labor) to assisting in the implementation of new tasks. In the words of David A. Mindell, a professor of engineering and manufacturing history at MIT, new markets and new opportunities help slow down the process of "manual replacement." Past history of the industrial revolution shows that All three forces have played their role before, helping to alleviate the problem of job losses caused by technological progress. For example: In the 1800s, demand growth created jobs for weavers, even though automation technology has increased their productivity by as much as fifty times. This increase in productivity often leads to layoff expectations, but the number of weavers has tripled between 1830 and 1900. Even after ATM machines became widespread in the late 1990s and took over most of the transaction operations originally handled by cashiers, bank tellers still did not lose their jobs because of the value of the inability to automate human interaction. Cashiers are assigned to more value-added operations such as customer service. The more bank branches that provide ATM machines start running, the more valuable the human-computer contact and interaction becomes. Despite all the worries, drones did not replace manned flights and pilots. On the contrary, they have created new types of pilots due to new types of tasks. The ordinary target-oriented 24-hour air combat patrol mission consists of 4 Predator drones, which require a total of more than 150 people to operate. Drone flight is far from being unmanned. However, people are still worried about the impact of technology on future employment, because it is unclear whether the above-mentioned three forces will also play a role. For example, the sustainability of economic growth is questionable. In addition, due to advancements in artificial intelligence (AI), the technology itself is closer to performing all conceivable tasks and taking over all jobs. Although these hidden concerns exist, we still have reason to be optimistic about the impact of technology on jobs and employment. The reason for optimism is the attitude and approach of leading AI startups. Looking at the 30 AI startups supported by venture capital, you will find that many AI pioneers apply their technology in a way that is compatible with the three forces that support job creation, whether by cater to the growing demand of the service-starved market, To strengthen people’s ability is to create new job alternatives instead of replacing their original positions.
Figure 30 - Fields and financing involved in AI startups For example, of the 30 startups sampled above, seven targeted the healthcare industry as an important area for applying AI technology. We have reason to believe that in the healthcare sector, where 400 million people lack medicines and drugs, the increase in demand will offset the potential loss of jobs caused by automation technology. Create new needs Creating new demand from a population that has never received a thorough service, even through the automation of part of the work, is a viable way to create jobs in the financial technology industry. For example, ZestFinance cancels the human interaction in the underwriting process on the one hand and therefore cancels the underwriting position. On the other hand, it provides financial services to 2.5 billion people without a credit score, thus creating new demand and new positions. Some start-up companies are involved in industries that are not as service-minded. However, many of these startup companies use AI to strengthen their employees' capabilities rather than eliminate them. For example, Insidesales.com helps salespeople use predictive analytics and canonical analysis techniques to gain trading opportunities and close deals. Robots developed by Rethink Robotics can enhance the capabilities of factory workers. In the words of one of the customers of Rethink Robotics, they allow workers to become “like a surgeon who is at your fingertips: whatever they need. No matter what products they need.†Healthcare startups also uphold this concept of empowering individuals. Through the use of deep learning algorithms trained by ultrasound experts, the Ultrasound Machine produced by the Butterfly Network can provide guidance to clinicians with less specialized knowledge. Creating new markets It is feasible to apply high technology to understand unsatisfactory markets or to strengthen human capabilities, but it is not the only feasible way to save humanity. Technology makes it possible to create new markets, new products and new business models that will not lead to the elimination of existing labor. For example, Anki develops toys driven by AI technology and Blippar develops augmented reality software. The new business created by these toys, augmented reality applications, and unmanned opportunistic drive technology is not a technology-optimized old business. These carefully selected, well-funded startups are just the tip of the iceberg, and more companies are in relatively early stages of development. Whether it is a smart glove that can strengthen factory workers' every move, or an intelligent search engine that understands natural language, humans and technology can coexist in many ways. Therefore, we have reason to believe that creativity, entrepreneurship, and widely discussed AI-related policies will help humans find their role in the continuous improvement of technology. This will be at least until the universal AI and the arrival of the starting point.
Capacitor for Electric Furnace
Capacitor For Electric Furnace, commonly referred to as capacitors, are capacitors, expressed in the letter C.Definition 1: a capacitor, as the name implies, is a "charging vessel", a device that holds charge.Capacitor.Capacitors are one of the most widely used electronic components in electronic equipment. They are widely used in the fields of interleaving, coupling, bypass, filtering, tuning circuit, energy conversion and control.Definition 2: a capacitor consisting of any two conductors (including wires) that are insulated from each other and are very close together.
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