Ubiquitous computing
blockchain is a digital account book that can be jointly bookkept, and will record all transactions that have occurred and have been unanimously recognized by the system it's the same as the whole family. You're bookkeeping, and your father and mother are also bookkeeping. They can see the general ledger, but the saved information can't be tampered with any more
In 2008, Nakamoto first proposed the concept of blockchain subsequently, blockchain has become the core component of electronic currency bitcoin, which serves as the public account book for all transactions. By using peer-to-peer network and distributed timestamp server, the blockchain database can be managed independentlyextended data:
type of blockchain
1, public blockchain
any indivial or group in the world can send transactions, and transactions can be effectively confirmed by the blockchain, and anyone can participate in its consensus process. Public blockchain is the earliest and the most widely used blockchain. The virtual digital currencies of bitcoin series are all based on public blockchain. There is only one blockchain corresponding to this currency in the world
2, Alliance (instry) blockchain
instry blockchain: multiple preselected nodes are designated as bookkeepers within a group, and the generation of each block is jointly determined by all preselected nodes (preselected nodes participate in the consensus process), and other access nodes can participate in the transaction, However, regardless of the bookkeeping process (in essence, it is still managed bookkeeping, only distributed bookkeeping, how many preselected nodes, and how to determine the bookkeeper of each block to become the main risk point of the blockchain), anyone else can conct limited query through the open API of the blockchain
3, private blockchain
only uses the general ledger technology of blockchain for bookkeeping. It can be a company or an indivial, and enjoys the write permission of the blockchain. This blockchain is not very different from other distributed storage schemes
at present, artificial intelligence has been widely valued in the computer field, and I believe it will be more widely used in the future.
Man has been racing against the dead line
er, dead line, no problem
throw a few bricks:
if nuclear energy is not done before fossil energy is exhausted (solar energy is also nuclear energy, no problem), it is not only the problem of civilization retrogression, but also locked up. Because we can't organize higher scale instrialization, we can't further test our scientific theory. Scientists guess that it's much more fierce than civil science
another question about scientists' guessing: the verification of scientific theories is becoming more and more difficult. 300 years ago, people put forward theoretical explanations based on phenomena. 200 years ago, people put forward theories while doing experimental verification. 100 years ago, people expected to have enough ability to verify (such as gravitational waves) in 100 years. Now? For example, in string theory, when can we reach the required energy level to test this theory
before space migration, there was an upper limit of computing power that human beings could master. This upper limit was determined by factors such as electric power and mineral reserves (such as rare earth needed for all semiconctors and quantum computers in the future). Will it be the computing power needed for a key problem of space migration, Is it beyond human control
the smaller the ecosystem is, the easier it is to collapse, and the larger the ecosystem is, the more stable it is, but that doesn't mean it won't collapse. In the long run, the earth's ecosystem will collapse sooner or later. Are humans ready
another problem is that the more knowledge human beings accumulate, the longer an indivial needs to learn and reach the theoretical frontier. Will it take a person 80 years to get to the forefront of a subject one day, and how many years will he have left to do research? Some knowledge can be compressed, only remember the conclusion, some not, you must understand him, push him down, spend time to master him
if we can't escape from the earth before the sun turns into a red giant, we will be eaten by the sun, and human beings will be on the street collectively. Of course, we have five billion years, and this problem is more distant than the previous ones
in the first half of the 21st century, we are still in the stage of great strides forward
but your worry is right, and no one can guarantee what will happen in the future
2. Weather prediction: more weather models can be simulated, more parameters can be analyzed, and more accurate and farther future information can be predicted through calculation power
3. Special effects rendering: concentrated super computing power can rece the time of movie rendering and improve the rendering efficiency. In addition, there are more big data, AI related video, medical image analysis, agricultural remote sensing, environmental monitoring and other instries can be applied to
I found all of them on the Internet. It's very hard. I hope you can adopt them. Thank you. Thank you very much for your patience. If you have any help, please accept it. I wish you a happy life! thank you!
1. Learn to use the logic output mode of "prep + a": P (point), R (reason), e (example), P (point), a (action). In a formal conversation, speech, writing, you can generally follow the following logic / steps: P: first of all, express your point of view / argument / proposition concisely, that is, what you are saying and what you want to express. R: Secondly, say the "basis" that supports your conclusion, that is, answer why you think so, what kind of facts and explanations are based on? E: Furthermore, use practical examples (materials, data, personal examples, etc.) to improve the persuasiveness of your conclusions or opinions. P: Finally, repeat the conclusion to ensure that the information you want to convey has been delivered. A: Action is what you want the other party to do
summary: in short, this model starts from the conclusion, then explains the reasons and basis for the conclusion, and then gives concrete examples to support it, and finally emphasizes the conclusion again< In addition to formal occasions, we can also learn from the "prep + a" logic proction mode to enhance our logicality in our daily life. Whether you talk to others or listen to others, you can deliberately think about "this manuscript": what are the views to be expressed, what are the reasons, and what are the cases? This kind of subtle practice can constantly optimize your logical thinking
3. In daily life, whether you see, hear or read some important information or touching information, you can exercise your thinking through some deliberate self questioning. For example, when reading a point of view, you can ask yourself: why does the author cut in from this angle? How does the author form this conclusion? What are the disadvantages of this conclusion? How can it be better if I write about it
4. Most people prefer to watch movies. In this case, we might as well spend some time after watching the movie to sort out the plot and main line of the movie (suspense, science fiction, crime movies or books are better, because they all test your logical thinking). After combing, you can also search other people's opinions on the Internet, make comparisons, and see what omissions you have. If you do this often, your logical thinking and memory will be improved< Each book has its own logical structure, and the table of contents is the basic logic for the author to write this book. So we can exercise our logical thinking ability by taking notes, so we can get more at one stroke. ① When we first read a book, we basically look at it from the author's point of view. In order to test our basic mastery, we can test it through the way of "dictating the catalogue of a book". After dictating, we can compare it with the catalogue of the book. ② Starting from yourself, think "if you were the author, how would you write this book?" Then write out your writing outline (logical structure). ③ After reading the book, there will be more or less some key contents that you pay more attention to. After understanding and thinking about these contents, you can write articles with these knowledge points as the theme
7. To practice logical thinking through writing practice. Writing is a sort of self thinking arrangement. To spend time to construct an article that can be read and understood by others is actually to train one's own logical thinking ability and organizational ability. Because writing is a process of setting a topic and then finding an answer, you first need to define the right question, then decide the angle to cut into the question, then analyze the advantages and disadvantages of various angles, and finally form your own conclusion. To complete the whole process and write an article is to practice logical thinking. As for what to write, this is very extensive, such as writing an original story, writing a reading or learning experience, or life experience. After your writing ability is improved, you can find any keyword and use it to build a logical structure and write an article
Hello, I'm glad to help you with your problems.
thank you very much for your patience. If you have any help, please take it. Have a good life! thank you!
AI, IOT, cloud computing, big data and edge computing
related information:
in the press conference of "implementing 5g +, ushering in a new future together", China Mobile explained that "5g + aicde" is the deep integration of 5g as an access mode with emerging information technologies such as artificial intelligence (AI), Internet of things (IOT), cloud computing, big data, edge computing, etc, Build a 5g centered pan intelligent infrastructure
among them, China Mobile closely combines 5g with artificial intelligence, gives full play to the advantages of data, algorithm, computing power and application scenarios, and focuses on five major fields of network, service, management, security and application
{rrrrrrr}
extended materials:
Related words explanation: AI
AI (Artificial Intelligence)) generally refers to artificial intelligence (a branch of Computer Science)
artificial intelligence, abbreviated as AI. It is a new technical science to research and develop the theory, method, technology and application system for simulating, extending and expanding human intelligence
