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. 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. 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." The only question now is, are you willing to live in an era where computers are as smart as people? Pu Silicon,Silicon Pu Underlying ,Common Silicon Pu,Gb Silicon Pu Zibo Century Union New Building Materials Co.,Ltd , https://www.cum-sports.com
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.