Future computers can solve complex problems like human brains Recently, a research team composed of American and Japanese scientists has developed a hardware platform that can simulate the brain for natural computing. It is believed to play an important role in artificial brain and natural or cognitive computing research. It can be seen as artificial intelligence. The first step in reality, related papers published in the latest issue of Nanotechnology magazine. Natural computing is a new form of computing. It has the ability of self-adaptation, self-organization, and self-learning. It can solve various complex problems that traditional computing methods are difficult to solve. Just like the human brain, it is based on a complex system with self-issuance, which can learn from the environment and present the results of interaction with many units through macroscopic behavior. Due to the overall architecture and system, computers manufactured by traditional methods cannot be used for complex systems and natural computing. The device, developed by scientists at the University of California, Los Angeles, and the National Institute of Materials Science, is called the atomic switch network. It consists of many nanoscale memristors, each of which is an atomic switch. These switches are capable of adjusting the resistance based on previously stored content to produce a current or voltage that is compatible with it. This design enables the device to be self-issued and can automatically adjust itself to environmental parameters. This feature is essential for complex systems because it learns, interacts with the environment, and solves the problems it faces, while the data in memory is constantly changing and adjusting. James Jimchowski, a professor of chemistry at the University of California, Los Angeles, who is responsible for the study, said that despite the ubiquity of phenomena and self-organization in nature and human society, traditional computers have never accurately predicted and modeled them. The device they developed can quickly generate self-organization on a single chip, which is a new way of computing. Although some natural computing devices use natural materials, the atomic switching network in this study is still entirely made of inorganic materials. Its potential application areas include simulation of financial market operations, identification of valid information in error-prone data and noise data, and autonomous navigation in a variable environment. Researchers hope that this new technology will provide a hardware platform for reserve pool computing and other natural calculations based on complex systems. Jimzuski said: "In the future, we plan to develop a hybrid system of traditional computing devices and such brain-like devices, and develop a new type of distributed storage and artificial neural network-based programs. This will be artificial intelligence. The first step in reality, one day our computer will be as smart as we are." Since the supercomputer "Watson" has won a great victory in the contest with the human quiz, the topic of replacing the human brain with the computer is endless. In fact, from the perspective of thinking, as long as the computer still abstracts according to mathematical logic, then no matter how fast the computer is, it is just a robot with a giant left brain but no right brain. They can't be smarter than the human brain, and they won't replace the human brain. Nowadays, the new research platform, or the potential of the robot's "right brain", will be really exciting. Is it just that you are willing to live in a time when computers and people are as smart?
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