1. Introduction to the Project

1.1 Project background

1.1.1 Product introduction

The project will rely on medical data from Beijing Anding Hospital and other medical institutions, utilize software and resources from the Chinese Academy of Sciences, gather academic and manufacturing forces, focus on the mental health industry, with research and development and intelligent manufacturing as the main body, and scientific research and innovation, mental health knowledge popularization, and services as the support. Build a digital industrial park integrating “production chain, production education, and production research”. It will develop non-invasive brain computer software and hardware integrated devices for the diagnosis and treatment of mental health issues such as depression. After completion, the project will not only help solve patients with mental health problems and provide them with a high-quality life, but also serve as a demonstration project for the integrated development of digital economy, medical care, intelligent devices, etc. It will accelerate the deep integration of digital technology and the real economy, accelerate the cultivation of big data clusters, and strengthen, optimize, and expand the digital economy.

1.1.2 Market prospect

1. Current situation of the artificial intelligence industry

The wave of artificial intelligence is sweeping across the world, changing production and lifestyle at an unprecedented speed, breadth, and depth, and has a profound impact on global economic and social development and human civilization progress. In recent years, breakthrough innovations have emerged in fields such as language modeling, multimodal modeling, intelligent agents, and embodied intelligence, driving artificial intelligence towards the initial stage of general intelligence. At the same time, the engineering of artificial intelligence continues to accelerate, new products and models emerge one after another, and industry applications are deepening and becoming more practical.

Especially in 2024, there was rapid development of global big models. On the technical level, the multidimensional capabilities of language modeling technology continue to evolve, while visual modeling and multimodal models accelerate iteration and explore cross modal fusion processing. The software toolchain has been comprehensively optimized and upgraded, accelerating the transformation of model production quality and efficiency, improving the inference efficiency of model deployment, and assisting in the rapid deployment of intelligent applications. High quality multimodal datasets have become the key to improving model capabilities, and new technologies such as high-level data annotation and data synthesis have achieved rapid development and breakthroughs. At the application level, specialized intelligent applications are gradually maturing, and the prospects for the implementation of general intelligence are broad. The application of artificial intelligence in key industries is deepening and becoming practical, running through the entire process of product research and development design, production and manufacturing, marketing services, and operation management. While improving quality and efficiency, it gradually penetrates and guides industrial transformation.

General Secretary Xi Jinping pointed out that artificial intelligence is an important driving force for the new round of technological revolution and industrial transformation, and will have a profound impact on global economic and social development and human civilization progress. In January, 2024, the executive meeting of the State Council studied and deployed the work related to empowering new industrialization with artificial intelligence, emphasizing the deep integration of artificial intelligence and manufacturing as the main line, accelerating the intelligent upgrading of key industries, vigorously developing intelligent products, and empowering the industrial manufacturing system at a high level. Currently, artificial intelligence is in the initial stage of moving towards general intelligence and has become a key driving force for promoting sustainable economic and social development.

The global artificial intelligence industry reached $623.3 billion by 2024, a year-on-year increase of 21.5%. Specifically, there are two important reasons. One is the emergence of large-scale models, which provides the core driving force for the rapid growth of the artificial intelligence industry. Starting from 2023, the number of global basic models will rapidly increase, doubling compared to 2022; Since 2024, nearly a hundred basic models have been added or iterated globally, maintaining a strong innovation trend. The second is to accelerate the industrialization process of generative artificial intelligence technology and promote the large-scale development of global artificial intelligence. It is expected that by 2026, over 80% of enterprises will have used generative artificial intelligence APIs or deploy generative artificial intelligence applications.

In 2019, the scale of China’s AI core industry was 70.9 billion yuan, accounting for about 14% of the global scale in that year, thanks to the broad market and rapid landing of China’s AI application scenarios. In 2023, the scale of China’s AI core industry reached 578.4 billion yuan, with a growth rate of 13.9%. According to the Ministry of Industry and Information Technology (MIIT), the scale of China's core AI industry in 2024 will be close to RMB 600 billion, and the number of enterprises will exceed 4,500. And the International Data Corporation (IDC) predicts that the scale of China's intelligent arithmetic will exceed 1,000 EFLOPS in 2025, an increase of 43% compared with 2024, and the rapid expansion of the arithmetic infrastructure provides key support for technological breakthroughs.

China advocates jointly promoting the development of artificial intelligence in the fields of social production and mass consumption, which is closely related to the characteristics of China’s industrial structure. With the deepening of policies such as the “artificial intelligence+” initiative, the effectiveness of large-scale models has emerged in multiple industries. In the field of productive service industry represented by software development, some industries have relatively good data foundations, and the manifestation of practical benefits has attracted more participants to join. Some applications can achieve full process optimization, and the maturity of large model applications is relatively high. In key areas of social livelihood such as transportation and healthcare, large-scale signal control solutions, autonomous driving, intelligent diagnosis and treatment, etc. have been demonstrated and applied in point scenarios. In the manufacturing industry, improving the quality and efficiency of research and development and production has become the main demand for the implementation of large-scale models. By now, large models have been applied and implemented in research and design processes such as drug/material development and industrial design, production processes such as safety inspections and quality monitoring, and business management processes such as statistical chart generation, demonstrating enormous potential for change.

The application of consumer side big models is flourishing, and the popularity of dialogue assistant products is not decreasing. Innovative applications continue to emerge and gradually become the focus of user use. According to relevant statistical data, as of July, 2024, chat assistant products ranked first with a traffic of 2.4 billion, but the traffic decreased by more than 15% month on month; in contrast, the traffic of image design products increased by 16.83% month on month. At the same time, users’ demand is no longer limited to text generation, and innovative generative tools have become the most attractive feature currently available. According to the “Top 100 Consumer-grade Generative AI Applications” List released by a well-known investment institution in August, 52% of companies focus on generating or editing various modes of content such as images, videos, music, and voice, and 58% of the 12 newly listed companies belong to the field of creative tools.

The application of large-scale models in various links of the industrial chain presents the characteristics of “fast at both ends and slow in the middle”, that is, knowledge intensive and service intensive links such as research and development design and operation services at both ends of the industrial chain are relatively quickly implemented, while intermediate links such as production and manufacturing are relatively slow. Service intensive scenarios such as marketing and operations have strong cross-industry universality and have become the preferred “pilot” scenarios for large models for most industry enterprises. Taking a certain medical model for example, in the pre-diagnosis stage, the digital human medical assistant can provide 7x24 hours of intelligent customer service and professional science popularization services, assisting manual services in triage and guidance, greatly improving the efficiency of diagnosis and treatment.

Overall, under the current conditions of large-scale model technology, practical applications are not applicable to all scenarios. At present, the applicable scenarios of large models focus on dialogue interaction, creative generation, and knowledge management. However, for the scenarios that require high interpretability, high certainty, high real-time performance, high dynamic scene, and difficult sample data acquisition, further exploration is needed on how to effectively apply large models.

2. The application of digital economy in the field of mental health

Digital mental health service is a new type of psychological consultation service model emerging with the development of Internet technology in recent years. It provides users with convenient mental health support through mobile applications, online platforms and other forms. With the increasing emphasis on mental health and the implementation of social isolation measures during the pandemic, the demand for digital mental health services has significantly increased. Modern digital mental health services not only provide online consultation, psychological assessment and other functions, but also realize emotional recognition and personalized suggestions through artificial intelligence technology, enhancing user experience. In addition, user information security is ensured through data encryption and privacy protection measures. However, how to address the issue of users’ trust in online consultation while ensuring service quality is currently a challenge.

In the future, digital mental health services will place greater emphasis on personalization and intelligence. With the application of the big data analysis technology, personalized mental health services will be able to provide more accurate psychological intervention plans based on users’ personality traits, lifestyle habits, and other information. Meanwhile, virtual reality (VR) and augmented reality (AR) technologies will be used to create immersive psychotherapy scenarios, helping users better understand and process their inner emotions. In addition, with the popularity of wearable devices, digital mental health services will be able to monitor users’ physiological indices in real time, detect and intervene in potential mental health problems in a timely manner. The concept of sustainable development will also drive service providers to pay attention to user privacy protection, ensuring the legality and transparency of data collection and use.

The prediction of the development prospects of digital mental health services is based on various information and data obtained from market research on digital mental health services, using scientific prediction techniques and methods to investigate and study the factors that affect the supply and demand changes in the digital mental health service market, analyze and predict the development trend of digital mental health services, grasp the laws of supply and demand changes in the digital mental health service market, and provide reliable basis for business decision-making.

In order to improve the scientific level of management and reduce the blindness of decision-making, it is necessary to grasp the relevant dynamics of economic development or future changes in the digital mental health service market through the prediction of the development prospects of digital mental health services, reduce future uncertainty, lower the risks that decision-making may encounter, and enable the smooth achievement of decision-making goals.

With the continuous advancement of technology, digital mental health services will become more intelligent, personalized, and convenient in the future, and technologies such as artificial intelligence (AI) will be more applied in mental health services; at the same time, digital mental health services will be widely used in education, social work, enterprise health management, research institutions and clinical practice, combining wearable, Internet platform and other technologies.

In addition, driven by various policies, the access standards and business specifications of the digital health service industry will be more stringent in the future, the level of national health informatization will continue to improve, and digital mental health services will be promoted to accelerate online and offline integration. Through the integration of Internet hospitals and digital mental health platforms, medical and mental health information, resource exchange and data sharing will be realized, and eventually the integration of mental health management will be realized to improve the coverage of mental health services.

1.1.3 Technical analysis

This project will use the emotion recognition technology, big data analysis and machine learning, virtual reality technology (VR), online counseling services, etc. to conduct artificial intelligence treatment and research in some areas such as mental health, and improve the integration of intelligent manufacturing in the medical field.

1.1.4 Advantageous conditions of project construction

(1) Policy advantages

The 14th Five-Year Plan for the Development of Intelligent Manufacturing proposes to encourage research and development institutions to innovate development mechanisms, strengthen data sharing and platform co construction, and carry out collaborative innovation. Promote industrialization and organizational construction, accelerate the transfer and transformation of innovative achievements. Build a batch of experimental verification platforms to accelerate the promotion and application of intelligent manufacturing equipment and systems.

The Notice on Issuing the List of Typical Application Scenarios of Artificial Intelligence in Drug Regulation lists 15 application scenarios that are leading and demonstrative, have development potential, target work pain points, and have urgent needs. The aim is to promote the research and exploration of artificial intelligence technology in the field of drug regulation, with the main line of promoting the deep integration of artificial intelligence and drug regulation, regulating and guiding drug regulatory departments at all levels to carry out research and application of artificial intelligence technology, guiding resource focus, and promoting the empowerment of the drug regulatory system with artificial intelligence; at the same time, it also provides reference and guidance for other research institutions, technology companies, and pharmaceutical enterprises in related research applications.

The Development Plan for the New Generation of Artificial Intelligence clearly states that by 2025, there will have been significant breakthroughs in the basic theory of artificial intelligence, and some technologies and applications will reach the world’s leading level. Artificial intelligence will become the main driving force for China’s industrial upgrading and economic transformation, and positive progress will be made in the construction of an intelligent society. The new generation of artificial intelligence theory and technology system has been preliminarily established, and breakthroughs have been made in AI with autonomous learning ability, leading research results in multiple fields. The artificial intelligence industry has entered the high-end of the global value chain. The new generation of artificial intelligence has been widely applied in fields such as intelligent manufacturing, intelligent healthcare, smart cities, intelligent agriculture, and national defense construction. The core industry scale of artificial intelligence exceeds 400 billion yuan, driving the scale of related industries to exceed 5 trillion yuan.

The General Office of the People’s Government of Jilin Province has issued the Implementation Plan for Accelerating the High-quality Development of Jilin Province’s Digital Economy (2023-2025), which specifies the need to promote the construction and development of artificial intelligence industrial parks such as artificial intelligence innovation centers, intelligent manufacturing industrial parks, and AI innovation bases, and to create a province wide intelligent “toolbox”. Promote the integration and application of artificial intelligence with characteristic industries such as biology, medicine, education, elderly care, and home furnishings, actively plan a number of “AI+” empowerment cooperation projects, and strive to create no less than 10 deep application scenarios and high-level artificial intelligence application solutions every year.

The Implementation Opinions of the People’s Government of Jilin City on Promoting the Development of the New Generation Artificial Intelligence Industry focus on the demand for artificial intelligence technology in the advantageous areas of the “6411” industry subdivision in Jilin City, as well as the opportunities for the development of emerging smart industries brought by the application of new generation artificial intelligence technology in equipment manufacturing, education, healthcare, environmental protection, agriculture, social governance and other fields. Resources are integrated to build a support system for artificial intelligence technology innovation.

(2) Resource advantages

Jilin City has great potential for resource development. The installed capacity of power sources in the city is 10 million kW, with an additional 3.279 million kilowatts added during the 14th Five-Year Plan, an average annual growth rate of 8.3%. Among them, coal-fired power generation accounts for 3.07 million kilowatts, accounting for 30.7%; gas power generation of 860000 kilowatts, accounting for 8.6%; wind power is 1.54 million kilowatts, accounting for 15.4%; photovoltaic power generation of 700000 kilowatts, accounting for 7%; 3.5 million kilowatts of hydropower (3.2 million kilowatts of conventional hydropower and 300000 kilowatts of pumped storage), accounting for 35%; 270000 kilowatts of biomass power generation, accounting for 2.7%; waste to energy generation of 58000 kilowatts, accounting for 0.6%; the installed capacity of new and renewable energy accounts for 60.7% of the total installed capacity. It is expected that by 2025, the power generation will have reached 20.63 billion kilowatt hours, and the total transformer capacity of urban and rural power grids will reach 4891.1 megavolt amperes.

The available land area in Jilin City is 853 hectares, including 74 hectares of commercial land, 500 hectares of industrial and mining storage land, 179 hectares of residential land (including guaranteed land for affordable housing), and 100 hectares of other land (including land for public management and public services, transportation, water bodies and water conservancy facilities, and special land). There is a large stock of exploitable land resources, and new and reserved land can meet the needs of new projects. Land prices are at a low level among 41 cities in Northeast China.‌

(3) Talent advantages

Jilin City has universities such as Northeast Electric Power University, Jilin General Aviation Vocational and Technical College, Jilin Electronic Information Vocational and Technical College, Jilin Industrial Vocational and Technical College, etc. These universities provide a continuous stream of talent support for enterprises. These talents not only possess rich practical experience, but also have high technical level and innovation ability. Being able to solve various technical problems in the production process, improve production efficiency and product quality. At the same time, these professional skilled talents can actively participate in the technological innovation and product research and development work of the enterprise, providing strong guarantees for the sustainable development of the enterprise.

At the same time, Jilin City has a large number of high-quality industrial workers. After training by enterprises and public welfare institutions, more than 10000 skilled talents are sent to the society every year, and more than 20000 people of various types are trained for the society. The labor resource advantages are obvious, and the proportion of skilled workers is at a high level in the Northeast urban agglomeration. The labor force is in a dividend period, and the labor cost is relatively low, which can meet the needs of various enterprises.

(4) Location advantages

Jilin City is located in the central eastern part of Jilin Province, bordering Yanbian Korean Autonomous Prefecture to the east, Changchun City and Siping City to the west, Harbin City, Heilongjiang Province to the north, and Baishan City, Tonghua City, and Liaoyuan City to the south.

Jilin City is located at the geographical center of Northeast Asia, with various forms of transportation including railways, highways, water transport, and aviation. Jilin Longjia International Airport and Jilin Airport, as well as transportation arteries such as Changchun-Hunchun and Shenyang-Harbin expressways, Changchun-Hunchun Intercity High-speed Railway, Shenyang-Harbin Double-line Railway, etc., form a three-dimensional transportation network in Jilin City that is well-connected, fast, and convenient.  

1.2 Contents and scale of project construction

1.2.1 Construction scale

The project covers a total area of 150000 square meters and will revolve around the mental health industry, with research and development and intelligent manufacturing as the main focus, supported by scientific research and innovation, mental health knowledge popularization, and services. It will be a digital industrial park integrating “production chain, production education, and production research”.

1.2.2 Construction contents

The total construction area of the project is 170000 square meters, with some planned functional areas including the brain-computer hardware production area, brain-computer chip research and development center, software development center, data center, online operation center, scenario display and simulation training.

1.3 Total investment of the project and capital raising

1.3.1 The total investment of the project is

The total investment of the project is is 1.8 billion yuan, including the construction investment of 1.35 billion yuan and current funds of 450 million yuan.

1.3.2 Capital raising

Self-financing by the enterprise

1.4 Financial analysis and social evaluation

1.4.1 Main financial indexes

After the project reaches the production capacity, its annual sales revenue will be 2.5 billion yuan, its profit will be 500 million yuan, its investment payback period will be 7.5 years (after the tax, including the construction period of 3 years) and its return on investment will be 27%.

Note: “10 thousand yuan” in the table is in RMB.

1.4.2 Social evaluation

The project will utilize medical data from Beijing Anding Hospital and software from the Chinese Academy of Sciences to gather academic and manufacturing resources to develop non-invasive brain computer software and hardware integrated devices for the diagnosis and treatment of mental health issues such as depression. After completion, the project will not only help solve patients with mental health problems and provide them with a high-quality life, but also serve as a demonstration project for the integrated development of digital economy, medical care, intelligent devices, etc. It will accelerate the strategic deployment of high-quality development of digital economy in Jilin Province, accelerate the deep integration of digital technology and physical economy, accelerate the cultivation of big data clusters, and strengthen, optimize and expand the digital economy.

1.5 Cooperative way

Joint venture or cooperation, and other methods can be discussed face-to-face.

1.6 What to be invested by the foreign party

Funds, and other methods can be discussed face-to-face.

1.7 Construction site of the project

Aviation Industry Park of Jilin Economic and Technological Development Zone

1.8 Progress of the project

It is in the planning phase.

2. Introduction to the Partner

2.1 Basic information

Name: Management Committee of Jilin Economic and Technological Development Zone

Address: 499 Jiujiang Road, Jiuzhan Neighborhood, Jilin City

2.2 Overview

Jilin Economic and Technological Development Zone is located in the northwest suburbs of Jilin City. It was established in 1998 and promoted to a national level economic and technological development zone in 2010. The administrative jurisdiction covers an area of 93 square kilometers, with a built-up area of 20.4 square kilometers. The leading industries include new materials, fine chemicals, biology, medicine, etc. It is a national level carbon fiber high-tech industrialization base recognized by the Ministry of Science and Technology, a national level science and technology enterprise incubator for chemical new materials mainly based on carbon fiber, a demonstration base for new industrialization of carbon fiber and composite materials recognized by the Ministry of Industry and Information Technology, a national level patent industrialization pilot base recognized by the Intellectual Property Office, the first batch of national general aviation industry comprehensive demonstration zones approved by the National Development and Reform Commission, and a research and production base for large fiber bundle carbon fiber and products recognized by the Chemical Fiber Association. It is the most competitive fine chemical industry agglomeration area in Northeast China.

2.3 Contact method

Contact method of the project unit:

Contact unit: No. 1 Investment Promotion Bureau of Jilin Economic and Technological Development Zone

Postal code: 132000

Contact person: Cao Jian

Tel: +86-432-66490821 

     +86-15044287009

Contact method of the city (prefecture) where the project is located:

Contact unit: Investment Promotion Service Center of Jilin Municipal Bureau of Commerce

Contact person: Jiang Yuxiu

Tel: +86-432-62049694   

     +86-15804325460  

E-mail: jlstzcjfwzx@163.com