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Special topic: news channel special program commemorating the 30th anniversary of reform and opening up.

Enter [Chao Wen Tian Xia] > >

　　　　CCTV News (Chao Wen Tian Xia): Today we will talk about taking pictures. People in China like to take pictures. Now, people can be seen holding all kinds of digital cameras and camcorders on any occasion, and they can take pictures on their mobile phones all the time. But 30 years ago, taking pictures was an expensive thing, and families had to wear the most beautiful clothes to take a group photo.

　　　　This photo was left in 2007. A group of old photographers and old customers in Nanjing got together again, and the old master took pictures of the customers with the old seagull license plate camera. Look at the master’s hand. This is a film box. Every time you take a picture, you have to change it. The red cloth is used for shading. Moreover, most of these cameras can only take black and white photos, and the requirements for lighting are very high. Now it is not easy to see such a scene.

　　　　With such a machine, film is very precious, and there is usually only one chance to take a photo, which also requires a high degree of photographers. Unlike now, photographers will take many samples and customers can choose at will. What the master holds in his right hand is actually the shutter of a camera. Experienced photographers will observe it carefully, and then they will seize the opportunity to pinch the ball, even if they are photographed. At that time, people were all amazed at this thing, and vividly called this kind of photo "pinch shadow".

　　　　改革开放初期，国营照相馆大多使用这样的座机，这是上世纪70年代末，北京王府井大街南口的中国照相馆，当年，中国照相馆这个响亮的字号闻名中外，门前常常会看到，一大早就有几百人在这里排队等候照像，但每天只发放200个号，如果拍四张黑白照片，大概需要100多块钱，那是很多职工三四个月的工资。

　　　　这幅照片拍摄于1985年11月，很多国内游客在黄山观看西海日落的景象，仔细看看，几乎所有游客都在静静地观赏，而只有两个人在摆弄着手中的照相机拍风景，（点大）看左边这位，应该是一架“海鸥120”照相机，拍摄起来要从上面取景，一个黑白胶卷能拍摄十几张照片。

　　　　这种120型相机，现在已经不多见了，但在上世纪80年代，是个稀罕物。至少要花掉两个月的工资，而且还不容易买到。如果谁家拥有这么一台照相机，那感觉决不亚于现在拥有一部豪华私家车。

　　　　这是上世纪80年代中期的天安门广场。这样的场景，大家最熟悉不过了。天安门城楼前的照片，是那个年代大家共同的回忆。

　　　　当时，没有多少人自己带着相机去拍照，所以，天安门广场就出现了专门为游客照相的摊档，明码标价。这照片冲洗出来需要一段时间，外地人拍完后，只能先回家等着，大概一个星期后，照片连同底片才寄到顾客的家里。

　　　　再后来，政策宽松了，专门从事照像的个体户出现了，这些个体户机动灵活，像这个摊主，随身带着相框，里面是各种各样的示范照片，谁想拍什么背景、全身半身，都可以按图索骥，选择余地更大了。

　　　　再来看一些过去人们留下的照片。那时，大家重视拍照这事儿，甚至搞的像个仪式。无论孩子还是老人，一定会规规矩矩或站或坐，认真地听从摄影师的摆布，而最常听到的话是：坐好别动，别眨眼，笑一笑……不过，通常这样的指令发出之后，被拍摄者的表情就更严肃了。

　　　　虽然物质条件还不允许，但人们还是想方设法，让自己的黑白照片变得富有色彩。于是，照相馆推出了所谓的“彩色照相”，也就是在黑白照上手工上色。价格要贵上好几倍，而且要一个多月才能拿到。据说，那时有手巧的年轻人，就自己动手绘制彩色照片，先要给照片上涂抹一层牙膏，然后细细地上色，挺出彩的。

　　　　Time entered the mid-1980s, and more and more new things entered China with the reform and opening-up. The appearance of color film changed the photos from black and white to colorful. The stars in all kinds of picture books have become role models for women who love beauty. The white and flawless skin of the stars makes women envy them. Later, I learned that it can be achieved through darkroom processing. For a time, "hazy photos" became popular, and it was necessary to "be as beautiful as a star".

　　　　At that time, photographers took a lot of thoughts to get the effect of "hazy photos", such as coating a thin layer of vaseline in front of the camera, or covering it with a layer of stockings, and matching with appropriate lighting. Needless to say, the effect is really good.

　　　　This was sent to us by an audience friend. It was a family photo of their family in 1983. As you can see, the photo studio at that time also changed a lot. The studio was no longer a monotonous gray background, and the background decoration had a home atmosphere. At that time, the home phone was still very fresh, and photographers who understood people’s minds put the phone there as props.

　　　　This is Beihai Park in Beijing in 1980. At that time, the technology of rapid roll-up attracted young men and women with wet film in their hands everywhere in the park. People were carrying film and looking at wet film, and the scene of rushing to print was like a landscape.

　　　　At that time, there were domestic Le Kai color films, the price of which was half cheaper than that of imported Kodak and Fuji, and there were many color photos in the streets. The business was very hot. If you were quick, you could get your own photos in one day.

　　　　However, this situation lasted for a few years, and the business of street photo booths gradually became deserted. Because people are becoming familiar with a kind of camera called "Fool", even those who have never studied photography just need to press the shutter. The key is that the "fool" is cheap and good, and books on how to use the fool camera are also very popular. From this time on, the camera has become one of the necessary tools for daily entertainment and leisure in many ordinary families.

　　　　This is the first digital camera successfully developed by China in 1998 ―― "Seagull DC-33". At the end of 1990s, the concept of digital appeared, and digital cameras became popular rapidly. A small magnetic card could actually replace dozens of films, and the cost of printing shops kept decreasing.

　　　　Nowadays, when people buy cameras, they are concerned about whether there are not tens of millions of pixels, whether the body and lens are anti-shake, whether the brand is famous enough, the camera’s function is becoming more and more powerful, and the body is becoming more and more exquisite. Such a scene, any scenic spot, is more common.

　　　　In many photographic equipment stores, the past "fool" cameras and color films have gradually faded out of the counter, and a few film cameras have become sharp weapons for photography enthusiasts. The past dual-lens cameras have also become the favorite of the collection market. The old gentleman in Hangzhou has collected more than 1100 cameras.

　　　　There are memories between square inches, old photos let us taste the popularity and fashion of the year, and the upgrading of electronic consumer products such as cameras makes people realize the changes of the times and life.

Editor: Wei Yu

With the continuous development of science and technology and the continuous change of society, the future projects and post planning are also constantly changing and developing. The following are some projects and job plans with potential and development in the future:

1. Artificial intelligence (AI): With the rapid development of artificial intelligence technology, AI jobs will become one of the hot jobs in the future, including machine learning engineers, natural language processing experts, data scientists, intelligent robot developers and so on.
2. Blockchain technology: With the continuous development of blockchain technology, the demand for related positions will also increase, including blockchain engineers, blockchain developers and blockchain security experts.
3. Renewable energy: With the enhancement of environmental awareness, renewable energy will gradually replace traditional energy, and the demand for related positions will gradually increase, including solar energy technical engineer, wind technology engineer and biomass energy technical engineer.
4. E-commerce: With the popularity of the Internet, e-commerce will become an important business model in the future, and the demand for related positions will also increase, including e-commerce operation manager, e-commerce product manager and e-commerce marketing specialist.
5. Big data analysis: With the development of the Internet and the Internet of Things, big data analysis will become one of the hot jobs in the future, and the demand for related positions will also increase, including data analysts, data scientists and big data architects.
6. Life science: Life science is an interdisciplinary field, including biomedical engineering, bioinformatics, biopharmaceuticals, etc., and the demand for related positions will gradually increase in the future.

These are just some projects and job plans with potential and development in the future. The future job market will become more diversified and rich, and it is necessary to constantly learn and update knowledge and skills to adapt to the changes in the future workplace.

1. Artificial intelligence related projects and posts: With the continuous development and popularization of artificial intelligence technology, there will be more and more artificial intelligence related projects and posts. For example, artificial intelligence engineers, data scientists, machine learning engineers, etc.
2. 5G related projects and jobs: With the continuous promotion and application of 5G technology, 5G related projects and jobs will gradually increase. For example, 5G engineers, wireless communication engineers, network planners, etc.
3. New energy-related projects and jobs: With the deepening of environmental protection concept, new energy-related projects and jobs will gradually increase. For example, new energy engineers, photovoltaic engineers, wind power generation engineers, etc.
4. Cloud computing and big data related projects and jobs: With the continuous development and application of cloud computing and big data technology, there will be more and more related projects and jobs. For example, cloud computing engineers, big data analysts, data mining engineers, etc.
5. Projects and posts related to human life sciences: With the deepening of human research on life sciences, there will be more and more related projects and posts. For example, genetic engineers, bioinformaticians, biomedical engineers, etc.
6. Cross-border integration projects and jobs: With the continuous intersection and integration of various technologies, some new cross-border projects and jobs will gradually emerge. For example, Internet of Things engineers, intelligent manufacturing engineers, smart city planners, etc.
7. Human health-related projects and posts: As people’s attention to health continues to increase, related projects and posts will gradually increase. For example, health managers, sports rehabilitation teachers, nutritionists, etc.

It should be noted that the future development trend and project demand may be affected by many factors, such as technological breakthroughs, policy changes, market demand, etc., so career planning needs to be constantly followed up and adjusted.

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. "

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.

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.