At the beginning of the 20th century, the robot has been restless in the mother's womb of human society and economy, and people are somewhat anxiously looking forward to its birth. They don't know whether the upcoming robot will be a darling or a monster.
In response to the anxiety of human society about the upcoming robot, Asimov, a famous American science fiction novelist, first used the word Robotics to describe robots-related problems in his novel "I am a Robot" in 1950. Science, and put forward the famous "Three Rules of Robot":
Rule 1: Robots must not harm humans, or stand idly by seeing humans being harmed.
Rule 2: Robots must obey orders from humans, unless this order contradicts Rule 1.
Item 3: Robots must protect themselves, unless such protection contradicts the above two items.
1.A robot may not injure a human being, or, through inaction.
2.A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.
3.A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
With the rapid development of automation technology, robots have begun to gradually integrate into our lives. Under the premise of the three rules for robots, robots have replaced the old equipment in traditional laboratories and are now moving towards innovation. Facing the fiercely competitive market environment, many industry-leading experimental instruments Businesses are already gaining momentum. Laboratory automation is a major trend in the current market, but at the same time looking to the future, what is the next trend in laboratory automation?
The next trend in lab automation—robot labers
Artificial intelligence can bring great changes to laboratories, and even unmanned laboratories will appear. In the near future, artificial intelligence and robots will enter the laboratory as laboratory robots. Many people believe that robots and artificial intelligence are just extensions of human hands and eyes. Even if artificial intelligence methods such as deep learning are developed, it is unlikely to enter the laboratory for experimental research work. The opponent's point of view is also very simple, because artificial intelligence is built on algorithms, and the acquisition of its capabilities is based on a large amount of data, and powerful data-based computing capabilities are the core capabilities of artificial intelligence. However, there is still a big gap between artificial intelligence and real biological intelligence. Humans have never thought in this way. Human intelligence is based on knowledge, not data. And this is something that artificial intelligence cannot do. Moreover, with the increasing intelligence of robots, will there be a situation where the three rules of robots will be broken? But at present, it seems that the level of artificial intelligence of robots has been developing rapidly. At present, it is possible to analyze data suitable for specific use in the system based on big data, and then learn from artificial intelligence, so as to achieve an operation no less than that of manual experimenters. experiment. Even in the case of extremely high artificial intelligence, every robot is developed and designed to comply with the three rules of robots. On this basis, the higher the degree of intelligence of the robot, the more convenient our life will be.
The improvement of the intelligence of the robot means the improvement of the automation and intelligence of the laboratory. With the acceleration of the automation process, it is only a matter of time for robots to enter the laboratory. Just as the invention of the steam engine replaces manual practitioners, the invention of new technologies will always make our lives more convenient. The application of artificial intelligence has brought many new changes to scientific research and added new possibilities. For example, the use of artificial intelligence methods to collect data is more objective and the analysis is more accurate. At the same time, artificial intelligence has powerful computing power and can discover small sample events and rare sample events that people tend to ignore, which may bring unexpected discoveries to scientific research. An automated laboratory with artificial intelligence will discover and create more new discoveries for the benefit of mankind in the future.
