Ever since humans realized the importance of robots to human life, they have been focusing on the development of artificial intelligence technology. In these years, the development speed of artificial intelligence technology has been faster and faster, and now there are not only sweeping robots, but even robot attendants.

According to foreign media reports, the humanoid robot developed by a laboratory in the UK appeared in everyone’s sight again. The humanoid robot made a series of human body movements and even smiled in front of the mirror. As soon as the humanoid robot appeared, it was watched by a large number of friends, and its lifelike expressions and actions were once surprising. It can be called the most advanced humanoid robot in the world, and its every move and smile are strikingly similar to others. Once the news spread, it quickly caused a heated discussion among netizens in Guangfa.

After seeing the photos, many netizens will say that if the robot is dressed and put on a hat, it may really think that it is a human being. More people will say that this robot will produce wisdom, and if he has his own wisdom, it will pose a threat to human society. This is not what we are worried about, but what Hawking, a great scientist, once worried about.

Then the question is, if robots are conscious, will they one day replace humans? Will Zeng Lao’s prophecy come true?

Hawking once said when he was alive that he suggested that human beings should not develop robots too vigorously, or they might eventually be destroyed in the hands of robots.

People are conscious, ecstatic, depressed, grateful to those who have helped them, and reflect on their mistakes. People are thinking all the time, producing emotions and thinking all the time. But the robot is not necessarily. After all, it is only controlled by chip technology, and it still depends on people to research and develop it. Humans have the ability to reproduce, but robots haven’t been able to achieve this function yet. There was a famous professor Zeng Lao who boldly predicted that mankind would be destroyed by science and technology. So is the truth really what he said? It is said that science and technology change our lives. How can human beings be destroyed because of science and technology?

It is understood that this humanoid robot developed in the UK can wiggle its shoulders, blink its eyes, even touch its face in front of the mirror, frown and smile. This is not a human being, and the actions it does are what we often do. In addition, we unexpectedly found that the arm joints of humanoid robots are as flexible as those of human beings. If I hadn’t seen its mechanical arm, I would have thought it was a man waving his arm if I had dressed it! However, the walking and moving function of this humanoid robot has yet to be developed. The reason why its facial expression is so realistic is that it is implanted into the human face.

Now, the latest robot developed in the UK is actually regarded as the top robot level. It is the top robot in the world in terms of materials and mechanical technology. Similarly, Japan is also leading in the development of artificial intelligence. Maybe many people know that Japan introduced a beauty robot some time ago, and it can even help Japanese otaku solve their physiological needs. At that time, what they made was very perfect, but they couldn’t make very delicate movements and expressions.

Although technological innovation will bring us infinite convenience, if we rely too much on robots, we will eventually lose our hands-on ability. Robots are artificially developed, developed to serve people and obey human commands. While vigorously developing artificial intelligence, it must be legal and compliant, and robots should be constrained by systems.

According to the current science and technology, it is completely impossible to create robots that are exactly the same as human beings. Robots of this grade can be destroyed instantly even if they have spirituality. What’s more, they themselves are just not too complicated mechanical structures, and they are unlikely to produce spirituality.

For the whole artificial intelligence industry, there is a great demand for AI technology in the fields including driving, security, finance, industry, medical care, education, etc. The rapid development of AI technology based on machine learning depends on the richness of the underlying big data, and a powerful model needs a data set with a large number of samples as its foundation. The quality and diversity of data will have a significant impact on the success or failure of algorithm models. The delivery of high-precision AI data not only helps the AI industry to land in scenes, but also brings a better user experience.

At the data level, with the development of AI technology, the data scale is constantly improving. According to IDC’s calculation, the global data scale will reach 163ZB； in 2025; At the same time, the AI data service industry has entered the stage of deep customization, and the service of data customization is carried out according to different scenarios and requirements, and the AI data requirements also transition from general simple scenarios to personalized scenarios.

In order to solve the practical problem of AI industrialization, cloud measurement data summed up many experiences and solutions, and used them in practice to help the development of the whole artificial intelligence scene application. Through its own technology, it has overcome the difficulties, designed scientific and standardized data processing processes from task creation to final acceptance, and flexibly met the diverse and high-precision data needs of customers. It has successively launched products and services such as "data scene laboratory", "AI data set management system" and "cloud measurement data annotation platform", providing high-quality, scene-based and large-scale processing of perceived data for many AI-related enterprises such as intelligent driving, smart city, smart home, smart finance and new retail.

Of course, it is not easy to keep the leading position of technology and industry in the tide of artificial intelligence. From the perspective of attack and exploration, it is not difficult to see that the reason why cloud measurement data can become an industry leader is not only due to the toughness of technology and product strength, but also the homeopathic development of service model and service concept, thus continuously injecting new vitality into the artificial intelligence industry and providing new kinetic energy for development.

First of all, data came into the market when the industry was on the rise, and the cloud measurement data with the first-Mover advantage was not satisfied with the dividends at that time, but constantly increased the technical input and improved the production efficiency by improving the technical level. Give full play to the power of "underlying technology+service capability" and provide end-to-end training data service solutions in autonomous driving, smart home, smart city and smart finance and other industries.

At the same time, cloud measurement data keeps forward-looking forecast on the development trends of hot industries and technologies, and prepares relevant tool chains and data service capabilities in advance to ensure adequate preparation to meet new AI data requirements. In the current AI data industry chain, there is a keen discovery of cloud measurement data, and there is still a lack of a systematic data solution for AI engineering. However, this systematic data solution for AI engineering is needed by many industries. In this context, the cloud measurement data industry launched a new generation of data solutions for AI engineering, which was undoubtedly a timely rain for many industry customers and solved their actual needs.

For this reason, cloud measurement data has launched a new generation of data solution for AI engineering. Through the mature data management and labeling platform, this solution can complete system integration with enterprises, support enterprise-defined pre-labeling, algorithm interface, personnel management, project management system and secure delivery of software and hardware support. Under the labeling environment that ensures data privacy and security, it highly supports the efficient circulation of data required by enterprises, continuously performs data processing tasks, and improves the large-scale production efficiency.

For example, in the field of automatic driving, it can realize Data cleaning and labeling in the data closed loop of DataOps (that is, the combination of data and Operations) of automobile enterprises, and improve the circulation efficiency by 2 times compared with the original process; In the aspect of retail goods inspection, through the cloud measurement data labeling platform, the container inspection data continues to flow back, and visual review and modification are carried out based on the pre-labeling results of the algorithm, which improves the efficiency by 3 times compared with manual labeling.

"Walk alone fast, go far". In the era of industrial intelligence, we can’t just rely on one enterprise to fight alone. The double value of industry and society will produce compound interest effect. Cloud measurement data also knows this well. It is also actively promoting the standardization of artificial intelligence data industry, and has participated in the compilation and release of "Requirements and Methods for Marking Point Cloud Data of Intelligent Networked Car Lidar" and "Requirements and Methods for Marking Image of Intelligent Networked Car Scene Data", contributing experience and wisdom to industrial intelligence, and promoting the construction of standardization system in the vertical field of AI data service. In addition, it also participated in the first series of standards of "Model/MLOps Capability Maturity Model", which filled the gap of the development and management standards of machine learning projects at home and abroad.

Summary:

As the vanguard of artificial intelligence data services, cloud data is actively promoting the accelerated development of AI training data services, contributing experience and wisdom to industrial intelligence, thus becoming a new paradigm of industry development. I believe that next, cloud measurement data will continue to improve. While continuously enriching its own service capacity building and deep cultivation technology, it will maximize the value of training data and deliver more excellent data support for artificial intelligence scenes.