


Chengdu Media Group joins forces with leading institutions to use artificial intelligence to promote high-quality development of education
On May 26, 2023, Chengdu held the "Educational Digital Transformation Ecological Cooperation and Exchange Meeting" with the theme of "Artificial Intelligence Boost". This event was hosted by Sichuan Shengxue Education Technology Co., Ltd. (hereinafter referred to as "Shengxue Education"), a subsidiary of Borui Communication, a listed company under Chengdu Media Group, and included more than 100 leading companies in the digital economy and technology fields, as a platform for Shengxue Education Eco-alliance partners and partners are invited to attend.
Chairman Chen Changzhi emphasized in his opening speech that the company focuses on the development of ecological cooperation and is committed to building an ecological system in the education industry, which is a key share of strategic goals. He said that student education will anchor the core goal of educational modernization, fully grasp the opportunities and policy dividends of the development of the digital economy, promote the digital transformation of regional education with big data, artificial intelligence and other information technologies, and help build a high-quality education development system. , and hopes to work with all partners to empower each other, gather together for win-win results, jointly build a new ecosystem for the education industry, and work together to create a new highland for innovation and development.
This exchange meeting invited the chief scientist of student education, Professor He Xiaofeng from the School of Computer Science of East China Normal University, as well as the academic and technical leader of Sichuan Province, the deputy director of the Academic Committee of the Sichuan Education Society, and the former director of the Mianyang Institute of Educational Sciences. Professor Gong Linquan gave a wonderful speech focusing on the theme of "artificial intelligence promotes high-quality development of education" from multiple perspectives such as theory, policy, technology, and practice. At the same time, the heads of each production line of student education focused on themes such as "artificial intelligence promotes the comprehensive development of students' physical and mental health", "digital transformation of the teaching team", "big data and AI-enabled teaching quality improvement", and "promoting the digital transformation of regional education through data governance" Shared.
At the exchange meeting, student education companies represented Huawei, Lenovo, Alibaba, Hikvision, SenseTime Group, H3C Group, Zhejiang Dahua, Huakun Zhenyu, Sichuan Commercial Investment, Wenxuan, Hongxin, etc. Representatives of ecological alliance partners and high-quality partners awarded the license, marking that the two parties will continue to cooperate sincerely with artificial intelligence as the starting point, focusing on the key layout of student education and the four major product systems of digital governance, smart teaching, quality education and teaching and research services. , join hands to embark on a new journey of education digitalization and create a new pattern of high-quality education development.
It is reported that the Department of Shengxue Education is a technology company engaged in software research and development and hardware integration business. It has been deeply involved in the education field for nearly 20 years and has become a leading enterprise in smart education in Southwest China. It is also the catalyst for Chengdu Media Group and Borui Communication to accelerate the development of digital transformation. important starting point. Since its establishment, Shengxue Education has always adhered to equal emphasis on research and development and practice. Its products and services have covered 18 provincial-level regions across the country and served more than 16 million users. It has been rated as a national high-tech enterprise and a "Specialized, Special and New" enterprise in Sichuan Province. Focusing on the field of smart education services, Shengxue Education has established four professional teams: education experts, technology research and development, data intelligence, and teaching guidance. It uses big data, artificial intelligence, 5G smart education and other technologies to provide top-level planning for regions and schools. A comprehensive solution for high-quality education development that integrates investment, construction, and operation services. In addition, Shengxue Education has led and participated in a number of national, provincial and municipal key projects, such as the "5G Smart Education New Infrastructure Project Plan" (National Development and Reform Commission/Ministry of Industry and Information Technology 2020 New Infrastructure Project), "5G Teacher Comprehensive Evaluation Project Plan" (Ministry of Industry and Information Technology) / Ministry of Education’s National “5G Smart Education” Application Pilot Project in 2021), cooperated with the Chinese Academy of Educational Sciences to carry out national-level research - "Research on the Transformation of Learning Methods in Primary and Secondary Schools under the Background of the New College Entrance Examination", and jointly constructed with West China University of Sichuan University It has established the country’s first diversified education system with life safety and health education as its core, and so on. At the same time, Caizi Software, a wholly-owned subsidiary of Shengxue Education, is committed to building a new 5G smart city with digital industry applications as the core. It is the only ecological strategic organization enterprise in the smart city field authorized by TusHonggu Cluster. It is engaged in smart cities, smart sanitation, With profound accumulation in smart medical and other fields, its market share ranks among the top in the southwest region. It is a comprehensive service provider for smart city construction with core competitiveness and industry influence.
Regarding future development and vision, the person in charge of Shengxue Education stated that they will actively integrate into and serve the national strategy and urban development, further leverage their core advantages, integrate high-quality resources, focus on the main business, strengthen the industry, refine the profession, and strive to Stimulate stronger momentum and make greater contributions in areas such as education digital transformation, smart city construction, and digital governance.
The above is the detailed content of Chengdu Media Group joins forces with leading institutions to use artificial intelligence to promote high-quality development of education. 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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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

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

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

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

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
