The robot gradually took over the Dirty, Dull, repetitive and dangerous work that was originally handled by humans. But even if the robot revolution is imminent, the transformation will be the essence of work rather than the disappearance of work, and the field of work that relies on human traits for the foreseeable future will not be threatened for the time being, and new job opportunities will be created.
According to the website, due to population growth and network penetration, manufacturers have a strong demand for solutions that can produce more products faster and at lower cost. The essence of Industry 4.0 includes automation, cloud computing, decentralized decision making, IoT and interoperability, making plants run smarter and more efficient.
As factory automation continues to grow, the International Robotics Association (IFR) estimates that more than 1.4 million new robots will be installed in global plants in 2019, and the future manufacturing industry is probably the first to face a fully automated industry.
Robots cannot replace humans in areas such as creativity, emotion, human contact, and social intelligence, such as advice, arts, criTIcal thinking, and customization ( CustomisaTIon), dedicated customer service, design, empathy, and sympathy are all human characteristics that are difficult to generate or interpret through machines. They cannot be fully integrated into robots in the short term. learn.
Computers are very good at presenting facts, graphs, measurements, numbers, patterns, data and charts. Machine learning is particularly good at Supervised Learning. Other great advantages include dealing with big data, highlighting flaws, showing new ways of thinking, and helping all stakeholders become smarter. Therefore, in practical applications, machine learning does not replace humans with robots, but combines common sense and measurement intelligence that humans excel.
According to AssociaTIon for Safe InternaTIonal Road Travel, up to 1.3 million people die each year from road accidents. Therefore, one of the main design concepts of self-driving is safety considerations. The development of self-driving is a cycle of evolution, which will revolutionize the concept of transportation and reshape the transportation mode. This is not a trivial matter. It must cooperate with the elements of vehicles, infrastructure and maps. Self-driving will also change the concept of time management, giving traffic time a whole new meaning in global management and productivity. When vehicles are driving in autonomous mode, people can use commute time for things like education, leisure or productivity, and advertising and e-commerce will become new activities on self-driving. The functions of self-driving vehicles will create new business opportunities, such as Geographic Information System (GIS).
In the coming decades, features such as automatic parking, brake assist, high temperature detection, lane detection, night vision, pedestrian perception, road sign detection, tire and seat alarms will be gradually deployed in self-driving vehicles.
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