The neural network model inspired by biology greatly improves its memory ability.

Inspired by recent biological discoveries, researchers have developed a new model that shows enhanced memory performance. This is achieved by modifying a classic neural network. Computer models play a key role in studying the process of making and retaining memories and other complex information in the brain. However, building this model is a delicate task.

The intricate interaction between electrical and biochemical signals and the connection network between neurons and other cell types create the basic structure for the formation of memory. Nevertheless, due to the limited understanding of the basic biology of the brain, it has proved to be a difficult task to code the complex biology of the brain into a computer model for further study.

Researchers at Okinawa Institute of Science and Technology (OIST) improved the widely used memory computer model (called Hopfield Network) by incorporating biological insights. This change has inspired a neural network, which not only better reflects the connection between neurons and other cells in the brain, but also has the ability to store more memories.

Thomas Burns, a doctoral student in the group of Professor Zhishu Shenjing, who is the head of OIST’s neurocoding and brain computing department, said that the increased complexity in the network makes it more realistic.

"Why is there so much complexity in biology? Memory may be one reason, "Mr. Burns said.

In the classical Hopfield network (left), each neuron (I, J, K, L) is connected with other neurons in pairs. In the improved network made by Burns and Professor Shenjing, three or more groups of neurons can be connected at the same time. Source: Thomas Burns (OIST)

Hopfield network stores memory as a weighted connection pattern between different neurons in the system. The network is "trained" to encode these patterns, and then researchers can test its memory of these patterns by presenting a series of vague or incomplete patterns to see if the network can recognize them as patterns it already knows. However, in the classical Hopfield network, the neurons in the model are connected with other neurons in the network to form a series of so-called "paired" connections.

Paired connections represent the connection between two neurons at the synapse, which is the connection point between two neurons in the brain. But in reality, neurons have complex branching structures called dendrites, which provide multiple connection points, so the brain relies on more complex synaptic arrangements to complete its cognitive work. In addition, the connections between neurons are regulated by other cell types called astrocytes.

Burns explained: "There are only paired connections between neurons in the brain, which is simply unrealistic. He created an improved Hopfield network, in which not only pairs of neurons, but also three, four or more groups of neurons can be connected, such as astrocytes and dendritic trees in the brain. "

Although the new network allows these so-called "collective" connections, on the whole, it contains the same number of connections as before. The researchers found that a hybrid network with paired connections and collective connections performed best and retained the most memory. They estimate that its effect is more than twice that of the traditional Hopfield network.

It turns out that you actually need to balance the combination of various features to some extent, Burns said. A single synapse is necessary, but you should also need some dendritic trees and some astrocytes.

Hopfield networks are very important for simulating brain processes, but they also have powerful other uses. For example, a very similar network type called Transformers is a language tool based on artificial intelligence, such as ChatGPT, so the improvements identified by Burns and Professor Shenjing may also make such tools more powerful.

Burns and his colleagues plan to continue to study their modified Hopfield networks to make them more powerful. For example, in the brain, the connection strength between neurons is usually different in two directions, so researchers want to know whether this asymmetric feature can also improve the performance of the network. In addition, he also wants to explore ways to make the memories of the network interact, just as they do in the human brain. Our memory is multifaceted and huge. We still have a lot to discover. "

[Decoding Chatgpt] Yang Qingfeng | Chatgpt: Characteristic Analysis and Ethical Investigation

Since November 2022, ChatGPT, a chat robot developed by American artificial intelligence research company OpenAI, has quickly become the fastest-growing consumer-grade application in history, attracting widespread attention. The emergence of ChatGPT has become the tipping point of the development of artificial intelligence, which has promoted the competition of scientific and technological innovation in various countries to enter a new track. The leap of technology will inevitably lead to in-depth observation in application scenarios. No matter how smart artificial intelligence services become, adapting to and meeting the needs of human development is always the fundamental direction. Facing the future, discussing ChatGPT’s important influence on people’s mode of production, lifestyle, way of thinking, behavior mode, values, industrial revolution and academic research will help us to use and manage this technology correctly and then think about the development prospect of artificial intelligence.

Hegel mentioned the concept of bubble burst in the Ethical System, which meant that the process of destruction was like an expanding bubble bursting into countless tiny water droplets. If we look at the development of artificial intelligence technology with this concept, we will find that it is more consistent. After the artificial intelligence bubble burst in 1956, it became many tiny water droplets and splashed everywhere. There are AlphaGo and so on in chess; There are AlphaFold and so on in scientific research; Language dialogue includes LaMDA, ChatGPT, etc. Image generation includes Discord, Midjourney and so on. These technologies have gradually converged into a force, which has involved mankind in an era of intelligent generation.

ChatGPT: generating and embedding

Generation constitutes the first feature of ChatGPT, which means innovation, but this is questioned. Chomsky believes that ChatGPT discovers rules from massive data, and then connects the data according to the rules to form similar content written by people, and thinks that ChatGPT is a plagiarism tool. This view is somewhat inaccurate. In the process of ChatGPT generation, something new is produced. However, this is not new in the sense of existence, that is to say, it does not produce new objects, but finds unseen objects from old things through attention mechanism. In this sense, it belongs to the new in the sense of attention. In 2017, a paper entitled "Attention is All You Need" proposed transformer based on the concept of attention, and later ChatGPT used this algorithm. This technology uses self-attention, multi-head-attention and other mechanisms to ensure the emergence of new content. Moreover, ChatGPT may also generate text by reasoning, and the results can not be summarized by plagiarism.

Embedding constitutes the second feature of ChatGPT, and we can regard the embedding process as enriching some form of content. The development of intelligent technology is divorced from the track of traditional technology development. Traditional technology is often regarded as a single technical article, and its development presents a linear evolution model. However, the development of intelligent technology gradually shows embeddability. For example, as a platform, smart phones can be embedded with many apps. ChatGPT can be embedded in search engines and various applications (such as various word processing software). This kind of embedding can obviously improve the ability of agents. This is the basis of ChatGPT enhancement effect. According to Statista’s statistics, as of January 2023, OpenAI has been closely integrated with science and technology, education, commerce, manufacturing and other industries, and the trend of technology embedding is becoming increasingly obvious. The degree of embedding affects the friendliness of the robot. At present, ChatGPT can’t be embedded in the robot as a sound program. In our contact, it is more like a pen pal. In the future, companion robots and talking robots may be more important, such as voice communication, human talking, machine listening and responding.

ChatGPT’s black box status

For ChatGPT, transparency is a big problem. From a technical point of view, opacity stems from the unexplained problem of technology. Therefore, technical experts attach great importance to the interpretability of ChatGPT, and they also have a headache about the black box effect of neural network. In terms of operation mode, the operation of ChatGPT itself is difficult to explain. Stuart Russell clearly pointed out that we don’t know the working principle and mechanism of ChatGPT. Moreover, he doesn’t think that the large-scale language model brings us closer to real intelligence, and the interpretability of the algorithm constitutes a bottleneck problem. In order to solve this problem, they can observe the mechanism of neural network and touch the underlying logic through some technical methods such as reverse engineering. And through the mechanical interpretable method, the results are displayed in its visual and interactive form. With the help of these methods, they opened the black box of neural network. However, the interpretability obtained by this method is only effective for professional and technical personnel.

From a philosophical point of view, the emergence of black box is related to terminology. Difficult and obscure terms will affect the acquisition of theoretical transparency. For example, the theoretical concepts on which ChatGPT algorithm depends need to be clarified. In the article "Attention is All You Need", attention mechanism is a common method, which includes self-attention and multi-attention If these concepts are not effectively clarified, it will be difficult for outsiders to understand, and the black box will still not be opened. Therefore, one of the most basic problems is to clarify attention itself. However, this task is far from complete. Ethical problems caused by lack of transparency will bring about a crisis of trust. If the principle of ChatGPT is difficult to understand, its output will become a problem. In the end, this defect will affect our trust in technology and even lose confidence in technology.

Enhancement effect of ChatGPT

ChatGPT is an intelligent enhancement technology. What it can do is to intelligently generate all kinds of texts. For example, generate an outline of data ethics and generate the research status of a frontier issue. This obviously enhances the search ability and enables people to obtain higher efficiency in a short time. This enhancement is based on generativeness and embeddedness. From the generative point of view, it realizes the discovery of brand-new objects through the transformation of attention; In terms of embeddedness, it greatly improves the function realization of the original agent.

As an intelligent technology, ChatGPT can obviously improve the work efficiency of human beings. This brings out a basic problem: the relationship between human beings and agents. We divide intelligence into substantive intelligence and relational intelligence. Entity intelligence, that is, the intelligence possessed by entities, such as human intelligence, animal intelligence and entity robot intelligence; Relational intelligence is mainly used to describe the relationship between human beings and agents, and augmented intelligence is the main form of relational intelligence. It is necessary to purify the enhanced intelligence, make it show the general significance of people and technology through philosophical treatment, and make it have normative significance through moral treatment.

However, ChatGPT, which can enhance the effect, will cause some ethical problems. The first is the problem of intelligence gap. At present, this technology is limited, and there is a certain technical threshold, which will lead to the widening gap among users, that is, the gap caused by intelligent technology. This is the gap and gap arising from the acquisition of technology. The second is the issue of social equity. Unless this technology can be as popular as mobile phones, this fairness problem will be exposed very significantly. People who can use ChatGPT to work are likely to improve their efficiency significantly; Those who can’t use this technology will keep their efficiency at the original level. The third is the problem of dependence. Users will feel the convenience of this technology during use. For example, it can quickly generate a curriculum outline, write a literature review, and search for key information. This will make users gradually rely on this technology. But this dependence will have more serious consequences. Taking searching literature as an example, with the help of this technology, we can quickly find relevant literature and write a decent summary text. Although ChatGPT can quickly generate a literature review, it has lost the academic training of related abilities, so the result may be that researchers and students have lost their abilities in this field.

The relationship between ChatGPT and human beings

In the face of the rapid offensive of ChatGPT, academic circles generally take a defensive stance, especially many universities have banned the use of this technology in homework and thesis writing. However, prohibition is not the best way to deal with it. Technology is like water, which can be infiltrated in many ways, so relatively speaking, rational guidance is more appropriate.

To guide rationally, we need to consider the relationship between agents and human beings. I prefer to compare the relationship model between the two to "make the finishing point". Taking the generation of text outline as an example, ChatGPT can generate a data ethics outline based on data processing links around related ethical issues in data processing, such as collection, storage and use. In a narrow sense, this outline is appropriate and can reflect some aspects of ethical issues in data processing. However, from a broad point of view, this outline is too narrow, especially only from the data processing itself to understand data, without considering other aspects, such as dataization, data and lifestyle. What we can do or want to do is to make the finishing touch on the generated text and make it "live" through adjustment. In this way, the position of intelligently generated text has also begun to be clear: it is the finishing touch of human beings that plays a key role in the generation. Without this pen, the intelligently generated text is just a text without soul. If not, it will be difficult to guarantee the meaning and value of human beings, and the corresponding ethical problems will also arise.

Nature’s subversive discovery: Everyone has a "sixth sense"? Will future computers run on human brain cells? | This week is worth reading

Biology and medicine

The subversive discovery in Nature is that everyone may have a "sixth sense", but they just don’t realize it.

@ Academic Jingwei Nature

Why are fingerprints unique? Cell reveals the mystery of fingerprint formation

@ Academic Jingwei Cell

Common sugar substitutes in zero-sugar drinks may increase the risk of heart disease and thrombosis.

@ Science Circle Nature

Cell accidentally found that there are these similarities in the brains of fighters and onlookers.

@ Academic Jingwei Cell

Computer artificial intelligence

New posture of scientific research: let GPT-3 help you.

@ qubit arXiv

When organ-like intelligence shines into human reality: will the future computer run on human brain cells?

@ biological exploration Frontiers in Science

A snapshot can restore a video! AAAI 2023 proposes a new snapshot compression imaging algorithm.

@ qubit AAAI 2023

Materials and chemistry

Wang Qing/Huang Xingyi Nature: Energy storage materials, a major breakthrough!

@ nanohuman Nature

The key role of the latest Nature: H in superconductivity in Electronic Science and Technology University of China.

@ nanohuman Nature

Using metal atoms to construct the skeleton of polymer, it is the longest metal polymer so far.

@ Global Science Angewandte Chemie International Edition

Astronomy and physics

The asteroid "Dragon Palace" contains about 20,000 kinds of organic molecules.

@ Global Science Science

Study on local structure in disordered materials by neutron scattering

@ Keai KeAiNuclear Analysis

The most powerful explosion in the universe

@ 京京京京京京京京 arXiv

Cover image source: Unsplash

Sun Xingyi social media: Three goals and three points, a beautiful day, a good rest and a fight next week.

Live on March 12 th, in the 27th round of Premier League, Tottenham beat Nottingham Forest 3-1 at home. With this victory, Tottenham consolidated its position in the top four of the standings. After the game, Sun Xingyi, who scored a goal, expressed his joy of winning through social media.

Sun Xingyi wrote: "It’s a beautiful day to get three goals and three points. Have a good rest and recover, and fight again next week. "

At 11pm on Saturday, March 18th, Beijing time, in the 28th round of Premier League, Tottenham Hotspur will challenge Southampton away.

ON1 PortrAIt AI 2023 for Mac (super AI intelligent portrait processing software) v17.1.1.13620 activated version.

ON1 Portrait AI is a photo editing software application designed for portrait retouching and enhancement. It uses artificial intelligence (AI) and machine learning algorithms to automatically detect and enhance facial features such as eyes, skin, lips and hair. The software allows users to easily adjust and fine-tune all aspects of their portraits, including skin smoothing, blemish removal, tooth whitening, color correction and so on, with just a few clicks. ON1 Portrait AI can be used as a stand-alone application or as a plug-in for other photo editing software (such as Adobe Photoshop and Lightroom). It is suitable for Windows and Mac operating systems. Generally speaking, ON1 Portrait AI is a powerful tool for photographers and anyone who wants to use advanced AI technology to enhance portrait photos quickly and easily.

ON1 Portrait AI 2023 for Mac (Super AI Intelligent Portrait Processing Software) https://mac.macsc.com/mac/3885.html? id=Mjk0ODE5

Workflow plug-in ON1 Portrait AI is suitable for almost any workflow. Using ON1 Portrait AI as a plug-in can achieve amazing decoration effect in a few seconds:

  • Adobe Photoshop

  • Adobe Lightroom Classic

  • Adobe Photoshop Elements

  • Affinity Photo

  • Capture One (coming soon)

  • Apple Photos

  • Corel Paintshop Pro

ON1 Photo RAW with fully integrated portrait AI can be perfectly decorated with just one click. It uses machine learning to find every face in a photo and automatically make them look great. It analyzes every face, and adds some modifications to the skin, eyes and mouth, providing you with professional effects immediately.

Decorative tools and the controls you need

  • The cosmetic options are simply amazing, including smoothing skin, reducing shine, removing blemishes, facial carving and whitening eyes and teeth.

  • Automatically find each face in the photo, analyze it, and add appropriate embellishments according to your preferences.

No longer need lengthy editing sessions.

  • Let AI work for you by batch processing the entire photo folder. For each photo, portrait AI will find each face and automatically add the right amount of modification. It is very suitable for proofreading photos before delivery.

Adjust everyone individually.

  • Each face in the photo has independent control and adjustment. For example, you can use different settings for the bride and groom in wedding photos.

Your editing is nondestructive.

  • All your adjustments and edits are non-destructive. You can edit them again later, and the original photos will not be changed.

How to edit

  • Everything is automatic, but you can also control it completely manually. You can manually adjust the position of your eyes and mouth, draw to refine the skin mask, and use a brush to remove stubborn flaws.

Improve facial shape and lighting

  • By adding fill light to illuminate the face or reshape the face to narrow the chin line or balance the eye size, the common mistakes in lens selection and lighting can be corrected.

Using the power of frequency separation

  • Skin modification uses frequency separation to maintain natural skin texture, while reducing the color and tone changes of the whole skin. It creates flawless but natural-looking skin.

Easily remove flaws

  • Small flaws can be automatically reduced, while larger flaws can be removed by using the built-in content-aware eraser and clone stamp.

Presets that suit your style

  • Easily create your own preset to define your decoration style.

The mystery in space, human beings may never be able to open artificial intelligence or move towards the future.

Is it true that "birds fly away with husband and wife, and people are virtuous and have high character"? People will have different moods in different environments, do different things, and their thoughts will change. It is said that many astronauts, and foreign astronauts, look back in space and see that the earth is so small. In an instant, I also feel that human beings are small, even forgetting the nationality, and I hope that the "global village" will unite. Challenging the mysterious space together, although few astronauts talked about it, according to the network, most astronauts and foreign astronauts should have the same mood at that time.

Many people say that looking at the earth from space is a word "beauty". In fact, I think it should be more thorough. Some people think that if leaders of various countries go to space to see the earth, there may not be so many disputes. The idealist’s idea is really beautiful. "A leopard cannot change his spots." It’s not who is slipped into space that can change the world pattern. The greed, desire and the law of the jungle of human nature can only become more and more obvious. How can it become more and more noble? People are not gods. If human beings could have a bigger pattern, the world would have been in harmony. Maybe all mankind will be promoted to the first level of civilization through cutting-edge technology.

The greedy desire that human beings can’t change is just like dogs can’t change eating shit and cats love eating fish. It’s hard to hear, but it’s true. Humans always think that the world belongs to me, and they are always willing to position themselves as masters and creators, so their possessiveness is very strong. As long as they rule a country or rule the earth, everything on the earth is not ours. Perhaps all this is not human’s original intention. Humans can only control their own behaviors and desires, but can’t decide higher-level things at all. In fact, it is God’s will that created human beings and human nature, which cannot be easily changed by human beings. In fact, we are more like the "turkey" in the TV series "Three-body".

Maybe you think I’m talking nonsense, but isn’t Einstein talking nonsense? Does Yang Zhenning, a Chinese scientist, also talk nonsense? They all tend to be God-like creators, so I said that there is no problem with the existence of God. When I say providence, I mean God! Although Einstein and China’s Yang Zhenning are both great scientists and physicists. Celebrities, maybe they are just idols of human beings, with a little more ideas. As carbon-based human beings, we have not yet broken through the first-class civilization of the universe. How can you see through so many things? Perhaps, as I said before, this phenomenon is called a myth before the problems that human beings can’t solve.

We pay attention to science in everything, but how did Einstein and Yang Zhenning get the first driving force before the Big Bang in the universe? That’s why everyone is more inclined to have a creator. Maybe the first driving force of the universe is naturally formed, and what about the driving force of natural release? Personally, I think that life on our earth basically belongs to carbon-based life. The study of all the stars and various phenomena in space is only in one point to observe the whole universe. If we humans move towards the first level civilization, we may know more mysteries in the universe and space.

For the vast mysteries of the universe, human beings are nothing more than children picking up shells at the seaside. It may be a joke to look back at human science when we enter the next level of civilization, because all phenomena of celestial bodies are just guesses, so we can only rely on guesses. If a policeman solves a case by guessing, then we all know that this is nonsense. Isn’t it nonsense for a scientist to guess? Therefore, I think that after the arrival of silicon-based life, the theories of these scientists are all fart or even worthless. At least silicon-based life can go to danger in person and engage in scientific research in space.

Silicon-based life is more suitable for all kinds of harsh environments, and perhaps no oxygen mask is needed at all. I think these great scientists live by guessing there, so it is better to study life and make human life stronger and wiser. Only we are strong. We can conquer a more powerful universe. Humans may not understand it, but human wisdom has developed artificial intelligence robots, which will not be tired or sleepy. Maybe artificial intelligence will tell us in the future.

Camara disappeared, many people in Rome were abandoned? Going his own way, Mourinho’s embarrassment and stubbornness

A paradox lies before Mourinho.

Is Rome useless or useless? In March, halfway through the Devil’s schedule, Mourinho is worried about a long list of injuries. At present, there are important players absent from the third-line positions except the goalkeeper. The media are talking about the need for Rome to make a rotation, but this is Mourinho’s embarrassment.

Rotation. Who? Take the midfield as an example. I’m afraid Marty Camara himself can’t remember the last time he played. Mourinho would rather let Cristante and Ma Diqi fight repeatedly than send him to play. Even the teenager Tasirovich has temporarily replaced him, while Camara has almost disappeared. Some media rumors that he is injured, but since 2023, he has been healthy enough to enter the big list and sit on the bench. Some critics say that Rome will use him only if it is necessary, mainly because he is worried that his appearances will be full.

Not only Camara, but also young players such as volpato and Tacirovich, who had been highly anticipated by Mourinho, have lost their chances in the standing list after a period of tempering. Young Beauvais was once in Mourinho’s plan, but he still couldn’t play the main role after the game was tempered. Rome had hoped to use him and volpato as additions to the purchase of Fratesi during the winter transfer.

Also gradually disappearing in the starting lineup is celik, the winner of the bid. celik has not played in four games since he came out after Rome defeated Verona’s substitute Solbakken 1-0 on February 20th. Some media have analyzed that the confidence of Turks has been affected since the goal against cremona, and the strong comeback of Karsdorp and the rapid growth of Zalewski have compressed the space of celik.

Of course, for coach Jose Mourinho, he is more aware of different tactics and player arrangements for different opponents, just like when he played against Real Society, he used Karsdorp accurately, which inspired the fighting spirit and energy of the Dutch. Similarly, Camara, Tasirovich and celik do not mean that they have been completely abandoned. They can only play when Mourinho thinks fit. In the past, many media questioned that Mourinho often went his own way and didn’t know how to rotate. In fact, Rome suffered from rotation at many times this season. In the two games against cremona, it happened that Mourinho tried to rotate, and the result was without exception.

This is also Mourinho’s embarrassment, rotation? Losing, not rotating? Lack of physical strength may lose the game. In desperation, he had to give up his own ban, so as to encourage and infect the only main lineup, and let them believe that they have the ability to conquer everything and believe in the strength of team and blood. However, his inner helplessness has long been revealed. At the press conference after the Europa League match, he envied Bayern’s substitute lineup and said that even if those people only gave him one player, it would be good. This is also his difficulty to some extent. In Rome, it is not that no one is available. The real problem is that some people are really useless.

Quantum machine learning: the intersection of quantum computing and artificial intelligence

With the continuous progress of technology, the concept of quantum computing is more and more widely known. As a new computing paradigm, quantum computing is very different from traditional computing methods. It can deal with problems that traditional computers can’t handle, which makes quantum computing have broad application prospects in the field of artificial intelligence. Quantum machine learning, as an important field where quantum computing and artificial intelligence intersect, has a wide and far-reaching application prospect. This paper will introduce the basic concept, principle and application of quantum machine learning, and analyze its future development trend.

First, the basic concepts of quantum machine learning

Quantum machine learning is a technology that uses quantum computing to realize machine learning. Its main purpose is to use the advantages of quantum computing to deal with problems that traditional computers can’t handle and improve the efficiency and accuracy of machine learning. The main difference between quantum machine learning and traditional machine learning is that it uses qubits to store and process data instead of classical bits used in traditional machine learning.

Second, the principle of quantum machine learning

The principles of quantum machine learning mainly include quantum data coding, quantum state preparation and quantum algorithm design. Among them, quantum data coding is the process of coding classical data into quantum States, so that the efficiency and accuracy of machine learning can be improved by using the characteristics of superposition and entanglement of quantum States. Preparation of quantum states is a process of putting qubits into the required quantum states. By controlling and operating qubits, the conversion between different quantum states can be realized, thus realizing various algorithms in machine learning. The design of quantum algorithms is the process of designing and implementing quantum algorithms, which can be optimized on quantum computers, thus achieving the purpose of machine learning.

Third, the application of quantum machine learning

Quantum machine learning is widely used, including classification, clustering, regression, dimensionality reduction and other fields. Here are some applications:

  1. Quantum neural network

Quantum neural network is a new type of neural network, which uses quantum bits to store and process data. Quantum neural network can deal with complex nonlinear problems, which makes it have a wide application prospect in image recognition, speech recognition and other fields.

  1. Quantum support vector machine

Quantum support vector machine is a support vector machine algorithm based on quantum computing, which can process high-dimensional and nonlinear data sets faster and improve the accuracy and efficiency of classification. Quantum support vector machine is widely used in bioinformatics, image processing, financial forecasting and other fields.

  1. Quantum clustering

Quantum clustering is a method to realize clustering analysis by quantum computing, which can process a large number of data faster and improve the accuracy of clustering. Quantum clustering is widely used in biology, image processing, market analysis and other fields.

Quantum dimensionality reduction is a method to realize dimensionality reduction analysis by quantum computing, which can process high-dimensional data faster and reduce the complexity and storage space of data. Quantum dimensionality reduction is widely used in data mining, image processing, natural language processing and other fields.

Fourth, the future development trend of quantum machine learning

With the continuous progress of quantum computing technology, the application prospect of quantum machine learning will be more and more extensive. In the future, the development trend of quantum machine learning mainly includes the following aspects:

  1. Further improvement of hardware technology

At present, the performance of quantum computer needs to be improved, and the development of hardware technology will help to improve the efficiency and accuracy of quantum machine learning.

  1. Innovation of algorithm design

With the deepening and development of quantum machine learning theory, algorithm design will become more and more important. In the future, quantum machine learning algorithms will be more complex and efficient.

  1. Expansion of application scenarios

With the continuous expansion of the application scenarios of quantum machine learning, the future will involve more fields, including physics, chemistry, biology, finance, transportation and so on.

To sum up, quantum machine learning, as an important field where quantum computing and artificial intelligence intersect, has a very broad application prospect. In the future, quantum machine learning will continue to develop and innovate in hardware technology, algorithm design and application scenarios, thus bringing more benefits and development opportunities to human society.

King of cunning! Mourinho will do whatever it takes to reach another new height.

Mourinho has a wide range of highlights in his experience of coaching some top clubs in Europe. However, his most famous night happened in the Champions League in 2010/11, when two mysterious red cards seemed to benefit Real Madrid in the following rounds. Real Madrid’s qualification from Group G has been stabilized, and Mourinho tried to take action in the last game of the group stage against Ajax. Mourinho incarnated as a master of shuffling, clearly instructed Ramos and Alonso, and took the initiative to get two yellow cards and was sent off.

After Ramos and Alonso are sent off, they will be suspended for one game, but they will remain innocent in the most important knockout. Sure enough, Alonso completed this task in an efficient way and took the initiative to apply for a red card and was sent off. Ramos then received a second yellow card. As expected, the referee Craig Thompson did what was expected and sent off the two players. Then, Ramos walked up to the referee and shook hands with him, which made it more obvious that he was accepting Mourinho’s instructions.

Although Mourinho’s bold decision achieved the expected results, it also brought some adverse side effects to Real Madrid. UEFA ordered Real Madrid to pay a huge fine, Mourinho was suspended for two games and fined 40,000 euros, and the club was also fined 120,000 euros. This legendary coach who calls himself "a special one" makes UEFA very angry! Despite his cunning tricks, Mourinho felt the pain of facing his arch-rival Barcelona not once, but twice that season. First of all, Barcelona performed better in the two rounds of the Champions League semi-final and eliminated Real Madrid.

Under the leadership of coach Guardiola, Barcelona also easily won the La Liga championship with a 4-point advantage. Mourinho finally left Real Madrid in 2013 and returned to Chelsea, starting his second coaching career. After winning the Premier League title again at Stamford Bridge, the 60-year-old handsome man’s worth and reputation gradually declined. Before he took charge of Rome in 2021, his teaching achievements at Manchester United and Tottenham Hotspur were unsatisfactory and mixed.

Beta thinks: During coaching Real Madrid, Mu Shuai will do whatever it takes to reach another new height! Mourinho is not only a special one, but also a veritable king of cunning. His unique personal charm attracts countless fans! I hope he can go further in Rome!

So for this news, fans, do you have anything to say? If you like this article, welcome to pay attention to Beta and chat with the stars and the ball game.

AI governance also needs "steering wheel" and "brake pad". How can Shangtang Technology achieve reality-oriented?

Shangtang Technology has implemented the "reality-oriented" concept of digital world development into its own practical development to promote the integrated development of digital economy and real economy.

"Investment Times" reporter Su Hui

In 2023, the two national conferences arrived as scheduled. The reporter of Investment Times noticed that compared with previous years, there was a new change in the two sessions this year, that is, representatives of a number of head Internet technology companies no longer served as NPC deputies or Chinese People’s Political Consultative Conference members due to the expiration of their terms of office, and they successfully completed a new and old transition with the new generation of technology leaders.

For example, He Xiaopeng, chairman of Xpeng Motors, Chen Tianshi, chairman of CAMBRIAN artificial intelligence (AI) chip company, Cao Peng, chairman of technical committee of JD.COM Group, and Kelly Y Zhou, founder and CEO of Zhihu, were all elected as deputies to the National People’s Congress or members of Chinese People’s Political Consultative Conference for the first time. This time, they participated in the two sessions, and they also made active preparations for field research, offering suggestions and suggestions for the development of the industry and a better life.

"Scientific and technological innovation" has always been an important topic to be discussed at the two sessions every year, and the two sessions have always been an important vane for the development of domestic scientific and technological innovation. In this year’s related discussions of the two sessions, the words "cutting-edge technology" such as ChatGPT, humanoid robot and autonomous driving of AI model appeared frequently. A number of representatives in the fields of network security and industrial manufacturing also put forward key suggestions on protecting data security and the development of digital economy.

As a leading artificial intelligence software company in the industry, Shangtang Technology keeps a close eye on digitalization.

In recent years, the digital transformation of agriculture, manufacturing and service industries has been accelerated, which is promoting profound changes in the mode of production of enterprises, lifestyle of residents and social governance. In 2021, the scale of industrial digitalization reached 37.18 trillion yuan, a nominal increase of 17.2% year-on-year, accounting for 81.7% of the digital economy and 32.5% of GDP, and the digital transformation of industry continued to accelerate in depth.

Shangtang Technology relies on AIDC and Shang Tang AI Cloud to create an innovation engine for the digital transformation of traditional industries and deeply stimulate the industrial potential.

AIDC, an artificial intelligence computing center located in Shanghai Lingang, is an AI infrastructure built by Shangtang Technology for digital transformation of the whole industry. AIDC is an important part and physical bearing of computing infrastructure layer in SenseCore Shang Tang AI large-scale device. With multiple leading advantages such as super-large-scale elastic computing power, low computing power cost, high security and low network delay, AIDC builds an innovative base, and drives the upgrading of AI production capacity with higher efficiency and lower cost.

It also opened the technical capabilities of Shang Tang AI big devices to its partners through AIDC, launched SenseCore Shang Tang AI Cloud, a one-stop AI basic service platform, transplanted AI capabilities to the cloud, realized AI as a service AIaaS, provided enterprises with "inclusive, flexible and open" AI infrastructure products and services, promoted the process of AI industrialization and accelerated the digital transformation of the whole industry.

Through Shang Tang AI Cloud, customers can realize the mass production and deployment of high-quality AI algorithms in an efficient, automated and intensive way without deep professional knowledge and huge capital investment, quickly get through the long tail demand in various vertical industries and improve the value chain.

On the other hand, Shangtang Technology always attaches great importance to artificial intelligence governance. The relationship between governance and innovation of artificial intelligence is similar to the relationship between steering wheel, brake pad and throttle of automobile. AI governance is not only like a "steering wheel" that can guide technology research and product development in the right direction, but also has the function of "brake pad", which can stop AI innovation from developing in the wrong direction in time. The strength of the "steering wheel" and "brake pads" needs to be dynamically adjusted according to the priority of the "throttle". Therefore, AI governance needs to adapt to the rhythm changes of technological innovation and achieve a degree of relaxation.

In September, 2022, Shangtang Technology released the White Paper on Artificial Intelligence Governance with Balanced Development —— Annual Report on Ethics and Governance of Artificial Intelligence in Shang Tang (2022). On the basis of AI ethics with Balanced Development, Shangtang Technology further proposed to develop "responsible and assessable" artificial intelligence, and took it as the vision goal of artificial intelligence governance in Shang Tang to create a closed loop of ethical governance.

At the same time, in view of the new stage, new trend and new changes of AI development, Shangtang Technology actively promoted the ethical governance from the exploration of AI itself to the specific business scene field, and in December 2022, it took the lead in publishing the "Reality-oriented Development View of the Digital World-Metauniverse Sustainable Development Report" for the metauniverse scene, introducing Shangtang Technology’s governance proposition for the digital world, providing for the construction of the digital world needed for the development of the real economy.

It can be seen that Shangtang Technology has implemented the "reality-oriented" concept of digital world development into its own practical development, and achieved the goals of "meeting the real needs", "following the real rules" and "conforming to the real interests" through the combination of technological innovation and real industries, so as to promote the integrated development of digital economy and real economy.