


Lai Chunlin, Chairman of Shengtian Network: It is expected that artificial intelligence-related application results will be announced within the year
Cheng Jiulong/TextOn the afternoon of May 18, at the Shengtian Network (300494) 2022 and first quarter 2023 performance briefing, the company’s chairman Lai Chunlin revealed that artificial intelligence technology is very important to the game industry. A huge opportunity for change, the company's artificial intelligence technology laboratory is in the research and testing stage, and it is expected that artificial intelligence-related application results will be announced by the end of the year.
Public information shows that Shengtian Network is the leading scenario-based digital entertainment platform in China. Over the years, the company has deeply deployed digital entertainment scenarios, built a cross-scenario platform, content and service system, and developed IP operations, game operations and distribution. , Internet advertising and value-added services and other main businesses.
Previously on April 25, Shengtian Network (300494) released its 2022 annual report. Financial data showed that the company’s operating income in 2022 exceeded 1.658 billion yuan, a year-on-year increase of 35.83%, achieving a net profit attributable to shareholders of listed companies of approximately 222 million yuan, a year-on-year increase of 77.66% - the company's revenue and net profit both hit record highs.
Regarding last year’s performance growth, the company’s management explained that operating income in 2022 was 1.658 billion, an increase of 35.83% compared with the same period last year, mainly due to the substantial increase in online advertising and value-added business income in this period; net profit attributable to the parent company was 222 million, an increase of 35.83% compared with the same period last year. The growth rate during the same period was 77.66%, which was mainly due to the increase in profits from IP operation business and online advertising and value-added business.
The main sources of income of Shengtian Network are online advertising and value-added services, IP operation business and game operation business. Online advertising and value-added services and IP operation business are the company's main sources of revenue, of which online advertising and value-added business accounted for 60.62% of total revenue, and IP operation business accounted for 27.27% of total revenue.
Regarding the company's future strategic focus, Lai Chunlin, chairman of Shengtian Network, said: "We will be committed to the core main track - the construction of the Internet platform and the ecological construction of Internet pan-entertainment content and services. Horizontally, the company will With the cloud platform as the core, we continue to build relevant ecological chains such as content, distribution, and game services, conduct in-depth operations on scenarios, and continuously expand product matrix and service content. Vertically, while consolidating existing business, the company will continue to Acquire and invest in the upstream and downstream of the Internet pan-entertainment related industry chain to strengthen its IP and CP capabilities, widen the corporate moat, and create new profit growth points."
At the performance briefing, an institutional investor asked about Shengtian Network’s layout in the field of artificial intelligence? In this regard, Lai Chunlin said that the company maintains continuous attention and research on the research and development and application of artificial intelligence technology. Under the trend of artificial intelligence having an extensive and profound role in promoting the game industry, Shengtian Network will continue to expand and consolidate existing industrial cooperation relationships, while seeking new opportunities and cooperation in emerging industries and market areas.
According to Lai Chunlin, currently, the company has established an artificial intelligence technology laboratory within the company, which is mainly dedicated to deeply exploring the potential applications and market demands of artificial intelligence in various fields, and promoting the transformation and upgrading of its own products and services. It is expected that there will be announcements of artificial intelligence-related application results within this year.
It is worth noting that in the secondary market, Shengtian Network’s stock price started from 14 yuan/share at the beginning of the year and has been rising all the way. In late April, it rose to a maximum of 46.1 yuan/share, and the highest increase was more than three times.
On May 18, Shengtian Network closed at 36.95 yuan per share, an increase of 8.71% that day.
The above is the detailed content of Lai Chunlin, Chairman of Shengtian Network: It is expected that artificial intelligence-related application results will be announced within the year. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
