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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.